Past Events

  • Join Virtual EventInstructions: 

    Meeting ID: 567 679 7348

    Passcode: Pediatrics

    Pediatric Research Colloquium: “Dual Faces of Oxidative Stress: Lessons from Animal Models of Neonatal Brain Disease”
    Helen Parfenova, Ph.D.
    Professor of Physiology
    University of Tennessee Health Science Center
    Adjunct Member
    The Graduate Faculty in Biomedical Engineering
    University of Memphis
    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jan
    21
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Jan
    21
    Virtual
    8:30am - 9:30am

    Pediatric Grand Rounds

    January 21, 2022

    ZOOM only

     

    Speaker:

    Yoav Dori, MD

    Associate Professor of Pediatrics

    University of Pennsylvania Perelman School of Medicine

    Topic:

    “Lymphatic Disorders in Pediatric Patients”

     

    Objectives:

    • Define basic lymphatic anatomy and physiology
    • Describe central lymphatic flow abnormalities in pediatric patients
    • Apply new imaging and treatment options for patients with lymphatic flow disorders
    CME Credit Survey link More Information 
  • Please join us for a virtual bench to bedside seminar. Eric Morrow, MD PhD, will lead this session on Christianson Syndrome, a rare genetic disorder with both neurodevelopmental and neurodegenerative components.

    This seminar will be conducted in collaboration with the Christianson Syndrome Association, a family-led non-profit organization whose mission is to advance the awareness and treatment of Christianson Syndrome through education and information, research, advocacy and support for individuals with Christianson Syndrome and their families.

    Please register to receive the Zoom link. 

    More InformationRegistration for this event is now closed. CTN
  • NIA IMPACT Collaboratory Grand Rounds

    Thursday, January 20, 2022
    12:00 – 1:00 pm ET

    Healthcare-Generated Data to Identify People Living with Dementia for Embedded Pragmatic Trials

    Presented by:

    Julie Bynum, MD, MPH
    Margaret Terpenning Professor of Medicine, University of Michigan

    Zoom Conferencing
    Join from PC, Mac, iOS or Android:
    https://hebrewseniorlife.zoom.us/j/97344810673
    Dial
    In : +1 312 626 6799 (US or +1 470 250 9358 (US Toll)
    Meeting ID:
    973 4481 0673

    More Information Biology, Medicine, Public Health, Research
  • The biggest threat to the adoption of artificial intelligence (AI) in healthcare is the concern that training algorithms on real world data will encrypt societal, institutional and individual biases, legitimize them and propagate them at scale. At present, the evaluation metric for machine learning in healthcare is accuracy. But just because an algorithm is accurate does not mean it should be implemented. If all that matters is accuracy, then algorithms developed using real-world data will encrypt the biases and prejudice that taint clinical decision-making. In an ideal world, only patient health and disease factors would determine — and guide the prediction of — clinical outcomes. However, studies have repeatedly demonstrated that this is far from the case. Women with heart attacks have worse outcomes when cared for by male cardiologists. Black newborns have better outcomes when their pediatricians are Black. Outcomes from sepsis are worse in hospitals that disproportionately treat minority patients after adjusting for illness severity and other confounders. To prevent AI from encoding social and cultural biases, we would like to predict an outcome if the world were fair, and the quality of care is the same across populations. We need algorithms that are better than humans - less prejudiced and more fair.

    Dr. Leo Celi is the clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and a practicing intensive care unit (ICU) physician at the Beth Israel Deaconess Medical Center (BIDMC). In his work, Leo brings together clinicians and data scientists to support research using data routinely collected in the process of care. His group built and maintains the publicly-available Medical Information Mart for Intensive Care (MIMIC) database and the Philips-MIT eICU Collaborative Research Database, with more than 25,000 users from around the world. In addition, Leo is one of the course directors for HST.936 – global health informatics to improve quality of care, and HST.953 – collaborative data science in medicine, both at MIT. He is an editor of the textbook for each course, both released under an open access license. “Secondary Analysis of Electronic Health Records” has been downloaded more than a million times, and has been translated to Mandarin, Spanish, Korean and Portuguese. He is the inaugural editor of PLOS Digital Health.

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through the Center for Digital Health’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to CDH reproducing, distributing and otherwise displaying the recording, within its sole discretion.

    Register Here More Information Biology, Medicine, Public Health, Entrepreneurship, Graduate School, Postgraduate Education, Mathematics, Technology, Engineering, Research
  • Providence Sleep Research Interest Group Seminar Series: Cannabis Use for Sleep Aid in College Students

    Patricia Goodhines, M.S.
    Clinical Psychology Resident, Brown University
    Doctoral Candidate in Clinical Psychology, Syracuse University

    Abstract: This talk will review the dynamic interplay of sleep problems and substance use among college students, with a specific emphasis on cannabis use for sleep aid. Recent work conducted by the investigator will be reviewed, including intensive longitudinal designs to elucidate proximal consequences and underlying mechanisms occurring in daily college life. The overall goals of this research program are to characterize cannabis sleep aid use and associated consequences among college students, as well as identify intervention targets to inform harm reduction efforts.


    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jan
    14
    Virtual
    8:30am - 9:30am

    Pediatric Grand Rounds

    January 14, 2022

    (TBD)IN-PERSON & Zoom

     

    Speaker:

    Brett Anderson, MD

    Florence Irving Assistant Professor

    Columbia University Irving Medical Ctr

    Topic:

    “Health Services Research: Assessing the System”

     

    Objectives:

    • Identify the potential data sources to assess health systems
    • Describe the procedure to leverage large data to address questions of outcomes and equity
    • Explain the power of individual, center, and neighborhood-level effects
    CME Credit Survey Link More Information 
  • Jan
    13
    Virtual
    12:00pm - 1:00pm

    Translational Research Seminar Series

    The Advance-CTR Translational Research Seminar Series showcases clinical and translational research from across Rhode Island. Presentations, followed by feedback, allow presenters the opportunity to refine and strengthen their research. Seminars are held virtually on the second Thursday of each month.

    This month:

    Register Now More Information Biology, Medicine, Public Health, Research, Training, Professional Development
  • Jan
    12
    Virtual
    11:00am - 12:00pm

    Child & Adolescent Grand Rounds

    School Mental Health, Suicide Prevention, and Wellbeing Promotion: Lessons from the last 10 years & Wisdom for the next 10
    Shashank V. Joshi, MD, FAAP, DFAACAP
    Professor of Psychiatry, Pediatrics, and Education
    Director of Training in Child & Adolescent Psychiatry
    Stanford University Department of Psychiatry & Behavioral Sciences
    Wednesday, January 12, 2022◊ 11:00 am - 12:00 pm

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences
  • Jan
    11
    4:00pm - 5:00pm

    Carney Faculty Chalk Talk

    Join Carney’s Center for the Neurobiology of Cells and Circuits for a faculty chalk talk featuring Karla Kaun, associate professor of neuroscience.

    Please note, this event is open to faculty members only.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jan
    7
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Jan
    7
    Virtual
    8:30am - 9:30am

    Pediatric Grand Rounds

    January 7, 2022

    ZOOM only

     

    Speaker:

    Michelle Starr, MD

    Assistant Prof of Pediatrics

    Indiana Univ School of Medicine

    Topic:

    “Neonatal Acute Kidney Injury”

     

    Objectives:

    • Describe the principles of kidney function maturation in neonates and why defining AKI is challenging
    • Recognize the impact of acute kidney injury on short and long-term outcomes of patients, including babies and NICU graduates.
    • Examine the benefits of multidisciplinary collaborative neonatal nephrology care.
    CME Credit Survey link More Information 
  • Jan
    5
    11:00am - 12:30pm

    DPHB January Grand Rounds

    Leveraging Sleep and Circadian Science to Devise and Disseminate Novel Transdiagnostic Treatments to Improve Sleep Health
    Allison G. Harvey, PhD
    Professor of Psychology
    Director, The Golden Bear Sleep and Mood Research Clinic
    Licensed Clinical Psychologist
    Fellow, Association for Psychological Science (APS)
    Diplomate in Behavioral Sleep Medicine (DBSM)
    Certified in Behavioral Sleep Medicine (CBSM)
    Psychology Department, University of California, Berkeley

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research, Social Sciences
  • Title:  “Molecular mechanisms of neural stem cell quiescence in aging and cancer”

    Advisor: Dr. Ashley Webb

    Also available via Zoom. Please contact Carol [email protected] for details/link

    More Information Biology, Medicine, Public Health, Research
  • Call for Applications! Apply for the Advance-CTR Mentored Research Awards. We’re funding two scholars for a two-year Mentored Research Award which includes the following benefits:

    1. Mentored Research Scholars receive up to 75% protected time up to $90,000 to conduct clinical or translational research projects for two years.
    2. Scholars are awarded an additional $25,000 each year for education or research supplies.
    3. The program provides mentoring and specialized training that prepare scholars to make significant advances in interdisciplinary strategies devoted to clinical and translational research.

    About the Mentored Research Awards

    The Mentored Research Awards target early-career investigators who are planning on applying for career-development awards (NIH K awards or equivalent) and launch independent research careers. Awardees receive protected time for research all within a structured, 2-year mentorship program.

    Key Dates & Deadlines

    • December 14, 2021: Last day to schedule calls with leadership
    • January 4, 2022: Preliminary applications due
    • March 10, 2022: Invited, full proposals due

    The anticipated performance period is August 1, 2022 to July 31, 2024.

    Application Resources

    Don’t go at it alone. Our Application Resources Page has information on scheduling a call with our program leadership to discuss your questions, two examples from investigators who have successfully applied to the program and other application resources.

    SEE THE RFA

    Learn More More Information 
  • Jan
    4
    Join Virtual EventInstructions: Please contact [email protected] for passcode

    Title: “ds-Tango, a disynaptic tracing technique in Drosophila”

    Advisor: Dr. Gilad Barnea

    More Information Biology, Medicine, Public Health, Research
  • Jan
    4
    Virtual
    10:00am - 11:30am

    CANCELED: COBRE CBC Walk-in Office hours

    The Computational Biology Core is inviting you to a scheduled Zoom meeting.

    Join Zoom Meeting
    <a href=”https://brown.zoom.us/j/95250171953”>https://brown.zoom.us/j/95250171953</a>

    Meeting ID: 952 5017 1953
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    Meeting ID: 952 5017 1953

    More Information 
  • There is a clear gap between what an autonomous robot can currently do and what it should be able to do to be competent in many complex, human-centered domains. One primary challenge is uncertainty, a constant factor that a robot must consider when deciding how to act, due to limited knowledge of the environment, noisy on-board sensors, and the unstructured nature of the human world. At the same time, humans can provide, conveniently through natural language, a powerful source of knowledge and feedback to the robot. However, natural language is inherently subjective and ambiguous. Furthermore, to make the most of the human’s presence, the robot should ideally be able to continuously interact with the human using natural language, a demanding yet necessary capability towards future collaborative robots.

    This thesis proposal bridges the gap by proposing an approach to robot acting and interacting in human environments based on Partially Observable Markov Decision Processes (POMDPs), which principally model both partial observability and perceptual uncertainty. We view natural language as an additional modality of stochastic perception as well as a type of action the robot can perform, which reduces the barrier of interfacing with humans. In support of our approach, we present research completed that progress from “act” to “interact,” using the POMDP framework. We focus our studies on object search, a practically valuable yet generally complex capability that encapsulates the key elements of uncertainty in human environments. On the end of “act,” we propose approaches for efficient object search in 3D human spaces that impose an octree-based structure over the environment as well as using the spatial correlation with other, non-target objects in the environment. Progressing towards “interact,” we propose an approach that enables robots to interpret possibly ambiguous spatial language (e.g. “The red car is in front of Chase Bank”) for urban object search that involves predicting the human’s latent frame of reference. Finally, on the end of “interact,” we present some preliminary work in enabling robots to engage in natural language dialogue with a human while searching for objects. We discuss a plan to complete this project, which completes this thesis.
    Host: Professor Stefanie Tellex
    More Information 
  • Join Virtual EventInstructions: Passcode: 581429

    Generally intelligent agents must learn and plan in complex environments. Often these environments have considerable structure, such as factored dynamics governed by Markov latent state information, that can be used to simplify decision making. But such structure is typically unknown to agents and must discovered before it can be exploited. I propose to study methods for building agents capable of autonomously constructing abstractions that accurately characterize the underlying structure of a complex environment while simplifying decision making within that environment. First, I will describe my recently-completed work on learning Markov state abstractions for efficient reinforcement learning. Next, I will describe my work on learning “focused” abstract actions for capitalizing on factored representations in planning tasks. Then I will propose to investigate how to learn such factored representations, given a Markov state abstraction as a starting point. Finally, I will outline a plan for a full system demonstration that incorporates all of these pieces to build a single, general-purpose agent.

    Host: Professor George Konidaris

    More Information 
  • Dec
    17
    Virtual and In Person
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Julia Minson - Associate Professor - Harvard University
    Title: Conversational Receptiveness: Improving Engagement with Opposing Views
    Abstract:We examine “conversational receptiveness” – the use of language to communicate one’s willingness to thoughtfully engage with opposing views. We develop an interpretable machine- learning algorithm to identify the linguistic profile of receptiveness (Studies 1A-B). We then show that in contentious policy discussions, government executives who were rated as more receptive - according to our algorithm and their partners, but not their own self-evaluations - were considered better teammates, advisors, and workplace representatives (Study 2). Furthermore, using field data from a setting where conflict management is endemic to productivity, we show that conversational receptiveness at the beginning of a conversation forestalls conflict escalation at the end. Specifically, Wikipedia editors who write more receptive posts are less prone to receiving personal attacks from disagreeing editors (Study 3). Finally, we develop a “receptiveness recipe” intervention based on our algorithm (Study 4).

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Dec
    17

    “Non-Invasive Monitoring of Gastrointestinal Development in Preterm Infants”

    Eric B. Ortigoza, M.D.
    Assistant Professor of Pediatrics
    Department of Pediatrics
    Division of Neonatal-Perinatal Medicine
    University of Texas Southwestern Medical Center
    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Zoom: https://brown.zoom.us/j/7683282244

    Calendar link: Google Calendar

    Deep learning has elicited breakthrough successes on a wide array of machine learning tasks. Outside of the fully-supervised regime, however, many deep learning algorithms are brittle and unable to reliably perform across model architectures, dataset types, and optimization parameters. As a consequence, these algorithms are not easily usable by non-machine-learning experts, limiting their ability to meaningfully impact science and society. This talk addresses some nuanced pathologies around the use of deep learning for active and passive online learning. I’ll start by discussing how to perform practical active learning for neural networks in ways that are robust to environmental variables. Afterward, I will overview the deleterious generalization effects of warm-starting the optimization of neural networks in sequential environments, and why they present a major problem for deep learning. I close by introducing a simple method that remedies this problem, and by describing some important ramifications of its application.

    Host: Professor Michael Littman
    More Information 
  • Dec
    17
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Dec
    17
    Virtual
    8:30am - 9:30am

    Pediatric Grand Rounds

    December 17, 2021

    ZOOM only

     

    Speaker:

    Jason Newland, MD

    Professor of Pediatrics, Washington Univ, St. Louis

    Children’s Hospital St. Louis, MO

     

    Topic:

    “Antimicrobial Stewardship: Everyone’s Responsibility”

     

    Objectives:

    • Discuss the history of antibiotics
    • List the impact of antibiotic resistance
    • List effective inpatient & outpatient antimicrobial stewardship strategies
    • Discuss the impact of antimicrobial stewardship on clinical outcomes

    Rhode Island Specific: This program qualifies for 1.0 hour CME Credit in Risk Management and Antimicrobial Stewardship, two of the required areas of section 6.0; 6.2.1 RI CME re-licensure requirements.

    CME CREDIT SURVEY More Information 
  • Title: “ Artificially manipulating positive and negative memory engrams”

    Host:  Olivia McKissick, NSGP Graduate Student

    More Information Biology, Medicine, Public Health, Research
  • Title:   Investigating lateral inhibition in the nucleus accumbens:  organization and modulation by monoamines

    Also available via Zoom.  Please contact Carol [email protected] for details/link

    More Information Biology, Medicine, Public Health, Research
  • Zoom: https://brown.zoom.us/j/5780073283?pwd=azloVHZOb1VDTkx4S0QyRmY3WldLdz09

    Meeting ID: 578 007 3283
    Passcode: 599248
    Grasping is one of the most important open problems in robotics; the very point of a robot is to exert force on the world to achieve a goal, and most such exertions require the robot to execute a grasp first. For a home robot to be effective, it must load a dishwasher with breakable plates; for a repair robot to be effective, it must operate tools; for a caretaker robot to be effective, it must perform chores for those with illnesses. All of these activities require manipulating objects, which in turn requires grasping them effectively. Additionally, to be useful, the robot must be able to perform these tasks on objects it has never seen before, in applications where manipulation failures can be very costly. Deploying a robot to such an environment, where exact operating conditions are unknown and vary between instances, is therefore challenging because systems and algorithms developed in a lab may perform poorly when introduced to a novel environment. A robot must quickly learn to manipulate new objects it encounters using limited prior knowledge.

    In this thesis, I examine robot grasping in three contexts. First, I propose a general grasp detection system that enables a multi-finger gripper to use multiple types of grasps to pick objects of varying sizes from dense clutter. For example, precision grasps are necessary for precisely picking small objects from the surface of a table using fingertips, while power grasps stably hold large objects by enveloping them with the gripper’s fingers. Given a visual representation of the scene, the system proposes a set of potential candidate grasp poses. These poses are evaluated using a neural network model that takes as input point clouds centered at a grasp pose and returns the probabilities that a grasp of each type would succeed at the given pose. This system is trained using a dataset generated in simulation and evaluated on a real robot. Explicitly modeling grasp type boosted the system’s object removal rate by 8.5% over the highest performing baseline.

    Next, I propose to define a framework for specializing a generic grasp detector to a task-oriented grasp detector. A task-oriented grasp detector is a classifier that predicts which grasp poses serve as initial states that enable a given manipulation controller to complete a task. As these classifiers are instance dependent, they cannot be trained in simulation and transferred to the real world. Instead, they must be trained directly in the task for which they are required. Since such manipulation data is costly to generate in the real world, semi-supervised learning, active learning, and a generic grasp quality prior are employed to minimize the amount of data necessary to achieve good performance. The learning potential of this framework will be demonstrated on a real robot.

    Finally, I propose a learning algorithm that learns a task-oriented grasp detector for a given task while simultaneously learning the manipulation policy that the grasp must enable. This joint learning problem is challenging due to the entanglement between the task-oriented grasp detector and the manipulation policy, which changes over time as it is learned; selecting different grasps changes the initial states of the manipulation policy, while a grasp pose that one policy fails the task from could enable an updated policy to complete the task. This system overcomes a key obstacle to robot learning with grasping, enabling a robot to quickly learn both how to manipulate an object and where to grasp the object to begin the manipulation. With this system, a robot could be deployed to a novel environment and learn to manipulate novel objects within a small number of attempts.
     
    Host: Professor George Konidaris
    More Information 
  • Please join us for a Brainstorming a trial design for studying the impact of Aduhelm: An Interactive Exchange
     
    Featuring: Maria Glymour, University of California, San Francisco and  Vince Mor, Brown University School of Public Health
    December 15 at 1 PM
     
    This interactive seminar will open with background on Aducanumab (brand name, Aduhelm), a new Alzheimer’s disease and related dementia medication that has generated controversy as a result of its risk-benefit profile and high price. Although the Federal Drug Administration recently approved it, Medicare’s determination regarding coverage is still pending. Participants will be asked to join in critiquing a series of pragmatic trial study designs, which must take into consideration Aducanumab’s administration (as an outpatient infusion) and the high rate of anticipated adverse events.
    The Joint Seminar Series on Clinical Trials in Aging is co-hosted by the Center for Long-Term Care Quality & Innovation (Q&I) at Brown University and the Interventional Studies in Aging Center (ISAC) in the Hinda and Arthur Marcus Institute for Aging Research at Hebrew SeniorLife. Lectures focus on issues in the design and execution of clinical trials, including trials currently in the field.
    More Information Biology, Medicine, Public Health
  • Humans naturally want to help each other, but modern society traps “mental health” behind expensive bureaucracies. Cheeseburger Therapy teaches ordinary people the skills of Cognitive Behavioral Therapy and provides structured oversight to make it safe for them to help other humans through the internet—and get paid doing so.

    Cheeseburger Therapy began as research at the University of Washington but is now a functioning community that changes real human lives. In this talk we will show three innovations that make it possible:

    • A novel version of Cognitive Behavioral Therapy, custom-designed for the internet, embedded in a User Interface that breaks the therapeutic process into a flowchart of steps that can be taught to ordinary humans, tracked by a computer, and evaluated as a reliable method for changing someone’s life.
    • A research platform for developing new therapeutic methods, by A/B testing them within practicing online community and evaluating results against a baseline. The platform features a novel design for text-chat that increases both empathy and anonymity, increasing signal and reducing noise within experiments.
    • A novel interactive peer-to-peer training system that can teach ordinary humans, in about 20 hours, to provide consistently helpful therapeutic conversations. Helpers improve their emotional listening, learn new thought skills, and gain the opportunity to graduate and make money helping people.

    Michael Toomim is a Computer Scientist trained at the University of Washington and the University of California at Berkeley, who currently works at the Invisible College in Berkeley. He has expertise in Human-Computer Interaction, and has worked in Cognitive Psychology, Social Computing, Data Synchronization, and Programming Tools. His PhD thesis defined the first measurable approach to Attention Economics. He currently co-leads the Cheeseburger Therapy and Braid projects.

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through the Center for Digital Health’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to CDH reproducing, distributing and otherwise displaying the recording, within its sole discretion.

    Register Here More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Psychology & Cognitive Sciences
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • Dec
    10

    “Maternal diet, offspring immunity and necrotizing enterocolitis”

    Julie Mirpuri, M.D.
    Associate Professor of Pediatrics
    Department of Pediatrics
    Division of Neonatal-Perinatal Medicine
    University of Texas Southwestern Medical Center

     

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • To join virtually: https://brown.zoom.us/j/96004642268

    Abstract: Autonomous robots have the potential to transform our everyday lives, yet most of these systems struggle outside of the lab or carefully designed warehouses. This talk will first describe our work toward a new generation of robots that learn to handle the highly dynamic and uncertain nature of human environments. In particular, I will highlight the importance of obtaining accurate cost-to-go models, which we show can be learned from self-play or aerial imagery for a variety of applications, from navigation among pedestrians to last-mile delivery. The talk will then dive into the challenges of certifying the safety and robustness properties of machines that learn. I will describe our work that uses convex relaxations and set partitioning to simplify the analysis of highly nonlinear neural networks used across AI. These analysis tools led to the first framework for deep reinforcement learning that is certifiably robust to adversarial attacks and noisy sensor data. The tools also enable reachability analysis – the calculation of all states that a system could reach in the future – for systems that employ neural networks in the feedback loop, which provides another notion of safety for learning machines that interact with uncertain environments. Finally, I will highlight the challenges of high-speed, off-road autonomy deep in the woods, which is a focus of our recent work.

    Michael Everett is a Research Scientist in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT). He received the S.B., S.M., and Ph.D. degrees in mechanical engineering in 2015, 2017, and 2020, respectively, at MIT. His research lies at the intersection of machine learning, robotics, and control theory. He was an author of a Featured Article in IEEE Access 2021 and works that won the Best Paper Award on Cognitive Robotics at IROS 2019, the Best Student Paper Award and a Finalist for the Best Paper Award on Cognitive Robotics at IROS 2017, and a Finalist for the Best Multi-Robot Systems Paper Award at ICRA 2017. He has been interviewed live on the air by BBC Radio and his team’s robots were featured by Today Show and the Boston Globe.

    Host: Michael Littman

    More Information 
  • Dec
    10
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Dec
    10
    Virtual
    8:30am - 9:30am

    Pediatric Grand Rounds - UPDATE

    Join Virtual EventInstructions: Due to COVID RED status - this Grand Rounds has been changed to ZOOM ONLY 

    December 10, 2021

    CHANGED TO ZOOM ONLY

     

    Speaker:

    Anthony Flores, MD, MPH, PhD

    Associate Professor, Chief, Division of Infectious Diseases

    Health Sciences Center of Houston, Texas

     

    Topic:

    “Emergence and Increasing Frequency of Antimicrobial Resistance in Group A Streptococcus

     

    Objectives:

    • Describe the breadth of disease caused by group A Streptococcus (GAS)
    • Describe the epidemiology of GAS including factors associated with increased frequency of antimicrobial resistance
    • Discuss the importance of bacterial whole genome sequencing in GAS surveillance
    • Describe research aimed at understanding the impact of antimicrobial resistance on GAS disease

    Rhode Island Specific: This program qualifies for 1.0 hour CME Credit in Risk Management and Antimicrobial Stewardship, two of the required areas of section 6.0; 6.2.1 RI CME re-licensure requirements.

    CME CREDIT SURVEY More Information 
  • Join Virtual EventInstructions: 
    Meeting ID: 962 3519 4892
    Passcode: 963454

    Brown Fly Club Seminar: “Complementary multisensory integration circuits in Drosophila”

    Andrew M. Dacks, Ph.D.
    Associate Professor
    Department of Biology
    West Virginia University

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Drop-in at any time between 10:30am -12:30pm

    Need a fun and inspiring way to start off reading period this semester? Why not come by and give Virtual Reality a try! We will be demoing some popular VR applications in our Occulus Quest 2 headsets. No experience necessary. Just bring yourself and your imagination!  

    More Information 
  • Dec
    8
    Virtual
    12:00pm - 1:30pm

    LingLangLunch Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Guillaume Thomas - Associate Professor - University of Toronto

    Title: Switch-reference, discourse coherence and centering

    Abstract: 
    Switch Reference (SR) is a family of grammatical devices whose primary function is to indicate whether two linked clauses have coreferential pivots, where the pivot is a prominent argument of some sort. We refer to the two clauses linked by a SR marker as the marked clause (which contains the SR marker) and the reference clause. In some languages, in addition to their function of reference tracking, SR markers can be used to indicate whether the events or situations described by the marked and reference clauses differ with respect to some parameter, such as time, place or actuality. This phenomenon is known as non-canonical switch ­reference. One of the open questions in studies of SR is whether canonical and non­canonical SR are different manifestations of a single process (Stirling, 1993), whether they are triggered by different configurations (McKenzie, 2012), or whether they are different phenomena altogether, with independent syntax and semantics (Weisser, 2012; Baker & Camargo Souza, 2019).

    This talk will discuss the relation between canonical and non­canonical SR in Mbyá, focusing on a construction that has received little attention in the literature, in which a pronoun is used in place of the marked clause. Crucially, we show that despite the availability of non­-canonical interpretations‚ most occur­rences of reduced SR (in a corpus of narratives) still track subject reference across sentences. In addition, we argue that non-canonical uses of SR marking are not associated with a set of necessary and sufficient conditions, but compete with canonical uses in the same contexts and configurations: speakers are more likely to use SR marking to indicate subject identity or difference, but may also use it to emphasize contrast or similarity between situations, although this use is less frequent.

    In light of these observations, we argue for a probabilistic analysis of SR in Mbyá. Besides its contribution to the typology of switch-­reference, this work also contributes to discussions of the probabilistic nature of linguistic knowledge, and illustrates the value of quantitative corpus studies for formal theories of syntax and semantics.

     

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Sarah Y. Vinson, MD
    Lorio Forensics
    Associate Professor of Clinical Psychiatry and Pediatrics
    Morehouse School of Medicine
    Wednesday, December 8, 2021◊ 11:00 am - 12:00 pm
    Course Link: https://cme-learning.brown.edu/CA-21-22
    Join Zoom Meeting: https://brown.zoom.us/j/91572597604
    Meeting ID: 915 7259 7604

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research, Social Sciences
  • Dec
    7
    4:00pm - 5:00pm

    Carney Faculty Chalk Talk

    Join Carney’s Center for the Neurobiology of Cells and Circuits for a faculty chalk talk featuring Alex Fleischmann, Provost’s Associate Professor of Brain Science. 

    Please note, this event is open to faculty members only.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • The Carney Institute for Brain Science is launching a new Advancing Research Careers Program for early career investigators at Brown University and its affiliated hospitals. Please join the program’s leadership team for a virtual open house on Tuesday, December 7, at 3 p.m. to learn about the program, its objectives and application process.

    Please see the attached Call for Applications for program details and application information.

    About the program

    The Carney Institute’s Advancing Research Careers (ARC) program aims to advance the research careers of women and persons historically excluded due to ethnicity and race in brain sciences at the level of advanced postdoctoral scholars and junior faculty. ARC is funded by an R25 award from NINDS and will support a cohort of up to six highly qualified participants each year through structured mentorship, research support and activities that contribute to successful neuroscience research careers. In this two-year program, selected ARC Scholars will advance a research project while expanding their mentorship network, meeting regularly with the ARC Scholar cohort, and attending professional development and quantitative skills training to advance their career goals.

    More InformationRegistration for this event is now closed. Advising, Mentorship, Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • Dec
    7

    Please join us for our Fall 2021 Implementation Science Seminar series, featuring speakers at Brown University, Providence VA and University of California San Diego, for presentations on sustainability, implementation strategies, hybrid trial designs, implementation blueprints and policy implementation. The sessions will run on Tuesdays from 10-11 am between November 2 and December 7, 2021.

    Tuesday, December 7

    Erika Crable, PhD: “Policy Implementation in the Criminal Justice Context”
    Register Now More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • Dec
    6
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Kelsey Lucca - Assistant Professor - Arizona State University
    Title: The building blocks of curiosity in infancy and early childhood
    Abstract: Young children are exceptionally curious. They want to know how and why things work the way they do. This drive to seek out information propels early learning: by the time children enter school they have an impressive understanding of how the world around them works. And critically, when children encounter information that contradicts what they already know, they actively work to update their knowledge. Despite the importance of early curiosity in learning, we know very little about how curiosity first develops in infancy, and what factors shape curiosity during the first five years of life, when individual differences are first emerging.

    In this talk, I will present a series of experiments aimed at exploring the developmental building blocks of early curiosity and the factors that shape them. In one experiment, I probe individual differences in curiosity by asking whether parental engagement in curiosity-promoting activities predicts infants’ curious tendencies in daily as well as their looking preferences for physically impossible events. In a second experiment, I examine what factors lead children to prioritize certain types of information over others when deciding what type of new information to learn. Finally, I will present a new method for measuring children’s exploration in a virtual environment.

    Together, this work provides new insights into the developmental building blocks of early curiosity, as well as new methodological tools that can be used to measure individual differences in curiosity – starting in infancy and extending into early childhood.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Dec
    6
    Virtual and In Person
    12:00pm - 1:00pm

    Statistics Seminar Series | Dr. Li-Xuan Qin

    Dr. Li-Xuan Qin, Associate Member in Biostatistics; PhD in biostatistics; Memorial Sloan Kettering Cancer

    Transcriptomics Data Normalization: Let’s Put It into Context
    This talk will describe an assessment of transcriptomics data normalization (for removing artifacts due to inconsistent experimental handling in data collection) in the context of downstream analysis. With robustly benchmarked data and novel re-sampling-based simulations, I will illustrate several caveats of data normalization for biomarker discovery, sample classification, and survival prediction. I will then discuss the underlying causes for these caveats and provide alternative approaches that are more effective for dealing with the data artifacts.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Mathematics, Technology, Engineering, Research, Training, Professional Development
  • Dec
    3
    Virtual and In Person
    2:00pm - 3:30pm

    Cognition Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Apoorva Bhandari - Investigator -  CLPS - Brown University
    Title: Flexible representations for a nimble cognition
    Abstract: Human cognition is exquisitely flexible, enabling people to nimbly adapt to novel situations or altered circumstances. Two fundamental capacities lie at the heart of such flexible cognition. First, is the capacity for deliberate control of cognition to configure its repertoire to the demands of a new situation. Second is the capacity for effectively generalizing knowledge from past experiences to simplify learning in new situations. In this presentation, I will argue that the key to understanding these capacities lies in understanding the content and format of representations of task information and their underlying neural codes.
    I will begin by briefly describing two lines of research that demonstrate the value of a representational account of flexible cognition. Next, I will describe a theoretical framework for understanding task representations which highlights a crucial trade-off between their separability and generalizability, and motivates testable hypotheses about how the format of neural task representations will shape both cognitive control and generalization. Finally, I will summarize ongoing work that addresses methodological challenges in empirically measuring the structure of neural representations in humans, and future plans for testing these hypotheses.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Dec
    3

    “Exploring human brain glycan sulfation at the blood-brain barrier in Alzheimer’s disease”

    Aric Logsdon, Ph.D.
    Acting Instructor of Medicine
    University of Washington
    Health Science Specialist
    Veterans Affairs/Research and Development
    More Information ALZ, Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Chemical and Environmental Engineering Seminar Series

    Dr. Deisy Fernandes, Presidential Post-Doctoral Fellow at Brown University, will present a talk: “Scalable Assembly of 2D Materials into 3D Functional Devices.”

    Abstract: Two-dimensional nanomaterials such as graphene, boron nitride (BN), and molybdenum disulfide (MoS2) have diverse chemical and physical properties leading to numerous applications of nanoelectronics biomedical applications such as biosensors, antibacterial, drug delivery, cell imaging tissue engineering, energy storage applications in batteries and lubricants. Democratizing these 2D nanomaterials, I have researched biosensing for cancer detection, 3D printing electronic devices, and the controlled release of intercalated molecules. Here I will show the electronic conduction mechanism, the capability of integration and intercalation, in addition to bioimaging and characterization.

    Bio: Deisy Fernandes began her undergraduate studies in Brazil at the
    University of Sao Paulo, and finished her B.S. and Ph.D in Chemical Engineering at the University of Illinois, Chicago. She received an NSF Graduate Research Fellowship and an NSF Graduate Research Opportunities Worldwide fellowship for research at the University of Bordeaux. She engages with the Society of Women Engineering, the Society of Hispanic Professional Engineering, and the Society for Advancement of Chicanos/Hispanics and Native Americans in Science. She has served on panels at the Annual Biomedical Research Conference for Minority Students, the Voices of Success Panel Discussion, the UIC College of Engineering Advisory Board Panel for Woman Programs. She has won the UIC Chancellor Student Service and Leadership award and the Eugertha Bates Memorial award.

    Host: Professor Robert Hurt

    More Information 
  • Dec
    3
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Neuroscience Graduate Program Seminar Bench to Bedside Series:
    “Stress and drug recurrence in patients with Opioid Use Disorder”

    Carolina Haass-Koffler, Pharm.D.

    Associate Professor
    Center for Alcohol & Addiction Studies
    Department of Psychiatry and Human Behavior
    Department of Behavioral and Social Sciences
    Carney Institute for Brain Science

    Carline Fleig, MSN, ANP-C

    Research Nurse Practitioner
    Center for Alcohol & Addiction Studies

    Zoe Brown, B.A.

    Research Assistant
    Center for Alcohol & Addiction Studies
    Host: Dr. Eric Morrow

    Organized by Brown University’s Center for Translational Neuroscience

    More Information Biology, Medicine, Public Health, CTN, Research
  • Dec
    2
    Virtual and In Person
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Sean O’Bryan, Postdoc - CLPS - Brown University

    Title: Decoding the role of learned selective attention in categorization and predictive inference

    Abstract:
    Different classes of objects are associated with distinct representational topographies in ventral occipitotemporal cortex. Using multi-voxel pattern analysis (MVPA) and independent fMRI localizer data, researchers can leverage this object selectivity to test how the neural representations of stimuli change as a function of task (e.g., instructions to “attend house” or “attend face” among simultaneously presented objects). One promising, but relatively understudied application of MVPA is to index the representations people use to guide the generalization of learning, particularly in contexts where generalization strategies can vary substantially across subjects. In a series of category learning experiments, we used this approach to reveal how learned selective attention to task-relevant objects emerges over time, and show that representational indices of attention can account for individual differences in task performance and generalization across several cognitive phenomena: Stopping decisions, base rate neglect, and retrospective revaluation. Collectively, these results underscore the utility of MVPA approaches for testing theoretical and model-based predictions about the role of attention in learning and subsequent learning-based inference.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Zoom: https://zoom.us/j/7144702637?pwd=VTFXL0ZXc2Z6Z1p5c3dZZ2pFQmRSdz09

    (Meeting ID: 714 470 2637, Passcode: 266033)

    Add to calendar: Google Calendar

    Computational models of language have largely been restricted to text-only data. A fundamental criticism of such a constraint is that it inhibits their language understanding ability, since they have never had access to the underlying processes and phenomena that are being referred to by words. This lack of grounding—that is, the ability to tie a word for which they have learned representations for, to its actual use in the world, means that they cannot be used for tasks that require such grounded reasoning. In this thesis, we explore methods that take in natural language, and learn to ground it to components of decision processes in reinforcement learning tasks. Our models either ground natural language to intermediate symbolic language representations that integrate with world states, or directly ground language to components of the world. Further, we explore how we might transfer grounded knowledge to pretrained text-only models while keeping the previously learned textual knowledge and parameters intact. Our primary contributions develop models that 1) convert natural language instructions to symbolic task representations, 2) use multilingual instructions to guide reinforcement learning agents and 3) allow different parts of natural language to update different parts of a reinforcement learning system. We end by discussing the steps forward which outline the goal of connecting models of language to models of the world.
    Host: Professor Ellie Pavlick
    More Information 
  • Oren Shriki, Ph.D.

    Department of Cognitive and Brain Sciences
    Ben-Gurion University of the Negev, Israel
    Abstract

    The critical brain hypothesis proposes that our brain is poised close to the border between two qualitatively different dynamical states. Whereas sub-critical dynamics are characterized by premature termination of activity propagation, super-critical dynamics are associated with runaway excitation. The talk will review evidence from recent years regarding this hypothesis and introduce the concept of neuronal avalanches, spatiotemporal cascades of activity whose sizes obey a power-law distribution. They are observed in a wide range of experiments from small-scale cortical networks to large-scale human EEG and MEG and are considered as evidence for critical brain dynamics. The avalanche analysis provides novel measures which reflect the underlying neural gain and are sensitive to changes in the balance of excitatory and inhibitory processes. Consequently, deviations from critical dynamics could serve as neuromarkers for disorders associated with altered balance. The utility of such neuromarkers will be demonstrated in several contexts, including epilepsy, prolonged wakefulness, schizophrenia, and disorders of consciousness.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • Lisa Uebelacker, PhD
    Professor, Research Scholar Track
    Department of Psychiatry and Human Behavior and Department of Family Medicine
    Alpert Medical School of Brown University
    Assistant Director, Psychosocial Research Program, Butler Hospital
    Wednesday, December 1, 2021◊ 11:00 am - 12:30 pm
    Course Link: https://cme-learning.brown.edu/DPHB-21-22
    Join Zoom Meeting: https://brown.zoom.us/j/93265817787
    Meeting ID: 932 6581 7787

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research, Social Sciences
  • Behavioral Decision Science final project presentations, various student speakers. 

    More Information Psychology & Cognitive Sciences
  • Speaker Series on The Linguistic Expression of Racial and Ethnic Identity

    Speaker: Dr. Amelia Tseng, American University and Smithsonian

    Title: “They talk just like an African American kid, and if you hear their Spanish, it’s worse”: Raciomultilingual ideologies in Latinx language and migration

    Abstract: Migration and global cities raise new questions for language, identity, and diversity, as well-established discourses of race, class, and social status vie with new semiotic meanings that emerge transnationally and in the local context. Washington, D.C. is a unique site of Latinx migration and sociolinguistic contact. Latinx of all backgrounds, with a Salvadoran majority that is unique in the United States, mingle in a diverse city which is historically both African American and racially segregated, and which is undergoing radical gentrification-related change. I argue that a raciomultilingual perspective is essential to understanding the language beliefs and behavior of U.S. Latinxs and other racialized immigrant groups within this complexity. This approach emphasizes that multilingual repertoires must be studied holistically since raciolinguistic ideologies are not constrained by abstract language boundaries and speakers do not experience their languages in isolation. Taking the example of D.C. Latinx language, I examine multiscalar language ideologies that circulate from the local to transnational and relate to particularities of identity construction as well as commonalities of broader systems of colonialist thought. I conclude with a reflection on directions in linguistics and related fields in relationship to foundational questions of language as part of society and social change.

    Sponsored by: C.V. Starr Foundation Lectureship Fund, the Department of Cognitive, Linguistic, and Psychological Sciences, The Center for Latin American and Caribbean Studies, The Program in Judaic Studies, the Department of Africana Studies and with additional support from the Department of Anthropology and the Center for the Study of Race and Ethnicity in America.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Nov
    30

    Please join us for a lecture from our Joint Seminar Series on Clinical Trials in Aging: 

    A Modified and Extended Hospital Elder Life Program (HELP-ME) for Delirium Prevention during COVID-19: Development and Feasibility Testing.

    Dr. Fong and Baker will present findings from the recently completed HELP-ME pilot study supported by ISAC. Thispro ject is focused on the development of remote/distancedHospital Elder Life Program (HELP) protocols. The development process, feasibility pilot, and preliminaryquantitative and qualitative results will be discussed. Dr. Sharon K Inouye, Director of Aging Brain Center at the Marcus Institute and Professor of Medicine at Harvard Medical School, will serve as discussant for the session.

    More Information Biology, Medicine, Public Health
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • Join the Carney Institute for a conversation about early diagnosis and risk factors in Alzheimer’s disease, featuring:

    • Yu-Wen Alvin Huang, M.D., GLF Translational Assistant Professor of Molecular Biology, Cell Biology and Biochemistry
    • Hwamee Oh, Ph.D., Assistant Professor of Psychiatry and Human Behavior and Cognitive, Linguistic and Psychological Sciences

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    Please register below to receive the Zoom link.

    Videos of previous Carney Conversations More InformationRegistration for this event is now closed. ALZ, Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Nov
    30
    Virtual
    10:00am - 11:30am

    COBRE CBC Walk-in Office hours

    The Computational Biology Core is inviting you to a scheduled Zoom meeting.

    Join Zoom Meeting
    <a href=”https://brown.zoom.us/j/95250171953”>https://brown.zoom.us/j/95250171953</a>

    Meeting ID: 952 5017 1953
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  • Nov
    30

    Please join us for our Fall 2021 Implementation Science Seminar series, featuring speakers at Brown University, Providence VA and University of California San Diego, for presentations on sustainability, implementation strategies, hybrid trial designs, implementation blueprints and policy implementation. The sessions will run on Tuesdays from 10-11 am between November 2 and December 7, 2021.

    Tuesday, November 30

    Hannah Frank, PhD: “Educational Implementation Strategies: Best Practices for Training and Consultation”
    Register Now More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • Nov
    29
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Christy Byrd Associate Professor North Carolina State University
    Title: Developing Critical Consciousness in Diversity Courses
    Abstract: In this talk I will describe a framework for understanding the awareness, knowledge, and skills developed in college diversity courses that integrates key concepts from the critical consciousness and cultural competence literatures. I will then talk about our ongoing work that uses a rubric approach rather than self-report to measure students’ trajectories of learning in diversity courses.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Nov
    23
    4:00pm - 5:00pm

    Carney Faculty Chalk Talk

    Join Carney’s Center for the Neurobiology of Cells and Circuits for a faculty chalk talk featuring Gilad Barnea, center director and the Sidney A. Fox and Dorothea Doctors Fox Professor of Ophthalmology and Visual Science.

    Please note, this event is open to faculty members only.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • Please join us for our Fall 2021 Implementation Science Seminar series, featuring speakers at Brown University, Providence VA and University of California San Diego, for presentations on sustainability, implementation strategies, hybrid trial designs, implementation blueprints and policy implementation. The sessions will run on Tuesdays from 10-11 am between November 2 and December 7, 2021.

    Tuesday, November 23

    Kelli Scott, PhD & Natalie Rodriguez-Quintana, PhD: “Development and Use of Implementation Blueprints”
    Register Now More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • Nov
    19
    Virtual
    2:00pm - 3:30pm

    Cognition Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Janice Chen Associate Professor - Johns Hopkins University
    Title: Brain Dynamics Underlying Memory for Continuous Natural Events
    Abstract:The world confronts our senses with a continuous stream of rapidly changing information. Yet, we experience life as a series of episodes or events, and in memory these pieces seem to become even further organized. How do we recall and give structure to this complex information? Recent studies have begun to examine these questions using naturalistic stimuli and behavior: subjects view audiovisual movies and then freely recount aloud their memories of the events. Within the default network, we find brain activity patterns that are unique to individual events, and which reappear during verbal recollection; robust generalization of these event-specific patterns across people; systematic transformation of the activity patterns between encoding and recall; and memory effects driven by the network structure of links between events in a narrative. Both the behavioral and neural phenomena replicate across multiple movies with a wide variety of semantic content. These observations construct a picture of how the default network contributes to our ability to comprehend and recall real-world events that unfold continuously across time.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Nov
    19

    “Dose response analysis of inter-alpha inhibitor protein treatment after hypoxic-ischemic brain injury in neonatal rats”

    Liam M. Koehn, Ph.D.
    Postdoctoral Research Associate
    Warren Alpert Medical School of Brown University
    Women & Infants Hospital of Rhode Island

    More Information 
  • Zoom link for those choosing to join virtually: https://brown.zoom.us/j/96730142900

    Add to calendar

    Abstract: I will present a theory for reasoning about the decisions made by AI systems, particularly classifiers such as decision trees, random forests, Bayesian networks and some limited types of neural networks. The theory is based on compiling the input-output behavior of classifiers into discrete functions which are then reasoned about using symbolic methods. At the heart of the theory is the notion of “complete reason” behind a decision which is extracted from a classifier/instance pair and can be used to answer many queries about the decision, including ones pertaining to explainability, robustness and bias. I will present recent results on quantified Boolean logic which provide the semantics of this theory, and discuss developments on tractable Boolean circuits and knowledge compilation which provide the computational arm for employing the theory in practice.

    Adnan Darwiche is a professor and former chairman of the computer science department at UCLA. He directs the Automated Reasoning Group, which focuses on symbolic reasoning, probabilistic reasoning and their applications to machine learning. Professor Darwiche is Fellow of AAAI and ACM and recipient of the Lockheed Martin Excellence in Teaching Award. He is a former editor-in-chief of the Journal of Artificial Intelligence Research (JAIR) and author of “Modeling and Reasoning with Bayesian Networks,” by Cambridge University Press.

    Host: Michael Littman

    More Information 
  • CAAS Rounds presents: Diversity of Alcohol Use and Associated Consequences among U.S. Hispanics with Dr. Raul Caetano

    More Information 
  • Nov
    19
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Join Virtual EventInstructions: Please contact [email protected] for passcode

    Title:  Coding of Abstract Rules by Distinct Neurons in Primate Visual Cortex

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Note: You may also attend this event via Zoom (Meeting ID: 978 5998 6393 | Passcode: 451768). This workshop requires you to be logged into Zoom through your Brown account.

    Carney Methods Meetups are informal gatherings focused on methods for brain science, moderated by Jason Ritt, Carney’s scientific director of quantitative neuroscience. Carlos Vargas-Irwin, assistant professor (research) of neuroscience, and Tommy Hosman, research engineer at BrainGate, will join Ritt in an open discussion of current debates over the validity and interpretation of some leading methods (UMAP, t-SNE) of data dimensionality reduction. While application of dimensionality reduction to neuroscience data is important and ubiquitous, the methods are challenging to understand, with few analytic guarantees on the results. Some recent papers raise questions about whether these methods are doing what practitioners think they are doing.

    Videos and notes from previous meetups are available on the Carney Institute website.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • Nov
    18
    Virtual and In Person
    1:00pm - 2:00pm

    Biology of Aging Seminar: Josh Dubnau

  • Nov
    18
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Dr. Minjung Kim, Meta Reality Labs (formerly Facebook)

    Title: What can we see on a high dynamic range display?

    Abstract:
    Spatial vision refers to the ability to see variations of image intensity across space, and contrast sensitivity functions (CSFs) characterizes spatial vision across different image parameters, such as spatial frequency, colors, and adaptation luminance.

    Using a custom-built high dynamic range (HDR) display, we characterized CSFs from mesopic (0.01 cd/m2) to high photopic (10000 cd/m2), and for different color modulations. This work expanded the knowledge of the visual system to a large range of image parameters. and we discovered that achromatic contrast sensitivity function behaves differently from chromatic contrast at adaptation luminance above 1000 cd/m2.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Zoom link is https://brown.zoom.us/j/93660854174

    Add to calendar: Google Calendar

    Well-chosen data visualizations can lead to powerful and intuitive processing by a viewer, both for visual analytics and data storytelling. When badly chosen, that visualization leaves important patterns opaque, misunderstood, or misrepresented. So how can we design an effective visualization? I will share several empirical studies investigating how visualization design could influence viewer perception and interpretation of data, referencing methods and insights from psychology and computer sciences. These results provide concrete guidelines for how both human designers and automatic chart recommendation systems can make visualizations that help viewers extract the “right” takeaway.
     
    Cindy Xiong is an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. She received her PhD in Psychology and her MS in Statistics from Northwestern University in 2021. She was a visiting scholar at Utrecht University in the Netherlands in 2018, and received her bachelor’s degrees in Applied Mathematics and Psychology from UCLA in 2016. Professor Xiong’s research at the intersection of human perception, cognition, and data visualization has received awards at premier venues in psychology and data visualization, including Psychonomics and IEEE VIS. She is also one of the founding leaders of VISxVISION (visxvision.com), a partnership dedicated to increasing collaboration between visualization researchers and perceptual + cognitive psychologists.
     
     
    Host: Professor David H. Laidlaw and Fumeng Yang
    More Information 
  • Nov
    17
    Virtual
    12:00pm - 1:30pm

    LingLangLunch Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Tyler Knowlton, Postdoctoral Fellow - University of Pennsylvania

    Title: The psycho-logic of each and every

    Abstract:How do meanings make contact with the rest of cognition? And how can we leverage that connection to better understand the representations that serve as meanings in a psychological semantics? This talk will consider the universal quantifierseach and every as a case study. A sentence like every circle is green is often thought to express a relation between two independent sets: ‘the circles are a subset of the green things.’ But I will argue that speakers represent these sorts of sentences differently, in non-relational terms: ‘the circles are such that they are green.’ This not only receives support from experiments probing participants’ strategies for verifying sentences, but offers a satisfying explanation of the semantic universal “conservativity”. I’ll then suggest a further “psycho-logical” distinction between every’s non-relational second-order meaning, which implicates a group, and a non-relational first-order meaning for each, which implicates only individuals: ‘any individual that’s a circle is green.’ These proposed representations interface with distinct cognitive systems – object-files and ensembles – leading to predictable behavioral signatures. Moreover, the proposed difference between each and every suggests a path forward for studying how these quantifiers are acquired.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • Nov
    16

    Please join us for our Fall 2021 Implementation Science Seminar series, featuring speakers at Brown University, Providence VA and University of California San Diego, for presentations on sustainability, implementation strategies, hybrid trial designs, implementation blueprints and policy implementation. The sessions will run on Tuesdays from 10-11 am between November 2 and December 7, 2021.

    Tuesday, November 16

    Sara Becker, PhD: “Hybrid Effectiveness-Implementation Trial Designs”
    Register Now More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • Nov
    15
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Professor Cristina Atance, University of Ottawa

    Title: Future thinking in young children: Exploring more “spontaneous” forms of future thought

    Abstract: The last few decades have seen a marked increase in research on humans’ (and non-human animals’) capacity to think about the future – often termed “episodic future thinking,” “prospection,” or “mental time travel.” In this talk, I briefly outline how this capacity has typically been measured in young children and highlight what I perceive as some key limitations of this approach. I then describe new research directions in my lab that may better capture children’s future thought including, most notably, the ability to spontaneously generate intentions (and actions) in the service of upcoming events and goals.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Nov
    12
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Johanna Vollhardt Associate Professor - Clark University
    Title: How do People Make Sense of Collective Violence and Oppression against their Group? Conceptualizing Collective Victim Beliefs
    Abstract: Social psychological research on how people make sense of collective violence and oppression against their group has tended to focus on negative processes and outcomes. For example, researchers have assumed that people compete with other groups over who has suffered most, that remembering the ingroup’s suffering increases negative intergroup attitudes and deteriorates psychological well-being, and that collective victimization results in a general sense of powerlessness. In this talk, I argue that this picture of how people make sense of collective violence and oppression against their group (“collective victim beliefs”) is incomplete and skewed, and that the narrow focus in the social psychological literature on collective victim beliefs can be explained by its unexamined assumptions, methodological limitations, and the lack of attention to context and power relations. Drawing on findings from studies conducted in different parts of the world (e.g., Cyprus, Hungary, India, Korea, Northern Ireland, Poland) and among various racial and ethnic minority groups in the U.S. (e.g., Armenian Americans, Black Americans, Jewish Americans, Kurdish diaspora), using various qualitative and quantitative methods (e.g., surveys, focus groups, Q-methodology), I show that how people make sense of their group’s victimization and oppression is much more nuanced than what the social psychological literature on this topic suggests. I present a theoretical conceptualization of the broad range of collective victim beliefs that may help us better understand why and when people choose different strategies for coping, resistance, and social change.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Nov
    12

    “Neurovascular dysfunction and repair in Alzheimer’s disease”

    Anika Hartz, Ph.D.
    Associate Professor of Pediatrics
    Department of Pharmacology and Nutritional Sciences
    University of Kentucky

    More Information ALZ, Biology, Medicine, Public Health, Research
  • Renata Batista-Brito, Ph.D.

    Assistant Professor of Neuroscience
    Albert Einstein College of Medicine

     

    Abstract

    Brain function changes dramatically with changes in the behavioral state of an animal, such as sleeping and waking, with a profound impact on cortical processing. At the brain level, behavioral states are associated with distinct patterns of cortical activity (or cortical states), that are well captured by oscillatory activity measured with electroencephalography (EEG) or local field potential (LFP). Recent work shows that cortical states have a strong impact on how sensory information is processed by the cortex and influences perception. However, relatively little is known about the circuits underlying distinct states of cortical activity. Sensory processing depends on the adaptive function of brain areas comprising many types of excitatory and inhibitory neurons, whose interactions are critical for the generation of patterns of cortical activity. Here, we will focus on the specific role of a transcriptionally unique inhibitory neuron (IN) subtype that co-expresses somatostatin (SST) and neuronal nitric oxide synthase (nNOS), namely the SST/nNOS INs, on cortical state and sensory processing. Contrary to most neocortical GABAergic INs, which typically project locally and regulate local network activity, SST/nNOS INs have long projections that project across cortical areas, making them well positioned to regulate cortical states. Our core hypothesis, based on our preliminary data, is that SST/nNOS INs play an important role in regulating patterns of synchronous cortical activity such as low-frequency oscillations. Low-frequency oscillations, a hallmark of a variety of psychiatric disorders, are associated with compromised neuronal function and impaired sensory processing. SST/nNOS cells have been found to be mislocalized in patients with schizophrenia, suggesting that our work might have implication in disease.

    More Information Biology, Medicine, Public Health, Research
  • CAAS Rounds presents: Alcohol and Cannabis Use and Co-use in Daily Life: Measurement and Analytic Considerations

    More Information 
  • Nov
    12
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Nov
    11
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Dr. Elisa Filevich, Humboldt-Universität zu Berlin

    Title: How (much) do we know about the way we move our bodies?: Motor metacognition and its relationship to other metacognitive domains

    Abstract: Virtually any goal-directed movement can be achieved through a manifold combination of muscular activity, following the principle of motor abundance. That is, any goal-oriented movement needs only satisfy the constraints that ensure that the goal is reached, but can, and does, vary over repetitions. Additionally, corrective movements can happen in the absence of awareness. It seems therefore plausible that the low-level details of motor control are opaque to conscious access.

    To test this hypothesis, we borrow operationalizations from research on (visual) metacognition: We measure motor metacognitive performance as the relationship between subjective confidence judgements and accuracy in discrimination decisions about a movement one just made.

    In my talk, I will present the results of a series of experiments where we asked how, and to what extent, we can monitor the details of our movements. I will also discuss relationships between metacognitive monitoring of performance in a motor task and in other cognitive domains, to challenge the notion of domain generality, which suggests that the same neural mechanisms might be responsible for monitoring performance across many different tasks.

    Together, I will aim to discuss general principles of metacognitive tasks and how we think of the relationships between metacognitive domains.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  •  

    Featuring
    SURESH VENKATASUBRAMANIAN

    Computer Science and Data Science, Brown University

     

    Introduction by
    RICHARD M. LOCKE

    Provost, Brown University

     

    MACHINE READABLE: THE POWER AND LIMITS OF ALGORITHMS THAT ARE SHAPING SOCIETY

    Algorithms have infiltrated our society, imposing their own frame of reference on how we conduct ourselves, how we interact with others, and how we are judged. They’ve turbocharged inequality and biases. They’ve accelerated the balkanization of the landscape of ideas, making it easier and easier to live within suffocatingly homogeneous ideological and cultural bubbles.

    More Information 
  • Rapid-acting Treatments for Pediatric Depression and Suicidality: Where are We Now?
    Jennifer B. Dwyer, M.D., Ph.D.
    Co-Director Yale Pediatric Depression Program
    Assistant Professor, Child Study Center and Dept. of Radiology and Biomedical Imaging
    Yale University
    Wednesday, November 10, 2021◊ 11:00 am - 12:00 pm

    More Information Biology, Medicine, Public Health, Education, Teaching, Instruction, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research, Social Sciences
  • Speaker Series on The Linguistic Expression of Racial and Ethnic Identity

    Speaker: Professor Sharese King, University of Chicago

    Title: “Operationalizing Intersectionality: A variationist’s approach to complicating identity categories in sociolinguistics”

    Abstract: The term intersectionality was coined by legal scholar, Kimberle Crenshaw, to account for the discrimination Black women faced at the intersection of both race and gender (Crenshaw 1989). Since, scholars across disciplines, including linguistics, have drawn on the theory to account for the complexity of identity, recognizing that dimensions of identity co-occur and co-constitute one another, with one informing the other (Levon 2015). In this talk, I discuss why exploring intersectionality in sociolinguistics is vital for advancing both theory and social justice efforts (King 2020). Drawing on previous work from Rochester, NY and Bakersfield, California, I propose ways to operationalize this social theory into variationist analyses.

    Sponsored by: C.V. Starr Foundation Lectureship Fund, the Department of Cognitive, Linguistic, and Psychological Sciences, The Center for Latin American and Caribbean Studies, The Program in Judaic Studies, the Department of Africana Studies and with additional support from the Department of Anthropology and the Center for the Study of Race and Ethnicity in America.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Nov
    9
    Virtual and In Person
    4:00pm - 5:00pm

    Biology of Aging PAARF

  • Please join us for a special seminar given by Dr. Xinyu Zhao, the Jenni and Kyle Professor of Neuroscience at the University of Wisconsin-Madison! 

    Dr. Zhao will discuss the targeting of stem cells in neurodevelopment disorders. Her research focuses on understanding the molecular mechanisms that regulate neural stem cells and neurodevelopment with the goal of applying this knowledge in the treatment of neurological disorders and injuries. 

    Hosted by Eric Morrow, MD PhD, and Justin Fallon, PhD. 

    More Information Biology, Medicine, Public Health, CTN, Research
  • Zoom link for those choosing to join virtually: https://brown.zoom.us/j/99968764917
    Add to calendar: Google Calendar

    Abstract: Robots today are typically confined to interact with rigid, opaque objects with known object models. However, the objects in our daily lives are often non-rigid, can be transparent or reflective, and are diverse in shape and appearance. One reason for the limitations of current methods is that computer vision and robot planning are often considered separate fields. I argue that, to enhance the capabilities of robots, we should design state representations that consider both the perception and planning algorithms needed for the robotics task. I will show how we can develop novel perception and planning algorithms to assist with the tasks of manipulating cloth, manipulating novel objects, and grasping transparent and reflective objects. By thinking about the downstream task while jointly developing perception and planning algorithms, we can significantly improve our progress on difficult robots tasks.

    Bio: David Held is an assistant professor at Carnegie Mellon University in the Robotics Institute and is the director of the RPAD lab: Robots Perceiving And Doing. His research focuses on perceptual robot learning, i.e. developing new methods at the intersection of robot perception and planning for robots to learn to interact with novel, perceptually challenging, and deformable objects. David has applied these ideas to robot manipulation and autonomous driving. Prior to coming to CMU, David was a post-doctoral researcher at U.C. Berkeley, and he completed his Ph.D. in Computer Science at Stanford University. David also has a B.S. and M.S. in Mechanical Engineering at MIT. David is a recipient of the Google Faculty Research Award in 2017 and the NSF CAREER Award in 2021.

    Host: Stefanie Tellex

    More Information 
  • Nov
    5
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Nov
    4
    Join Virtual EventInstructions: Please contact [email protected] for passcode

    Title:  The role of glutamate pyruvate transaminase 2 (GPT2) in neurometabolism and molecular mechanisms of GPT2 Deficiency

    Advisor:  Dr. Eric Morrow

    More Information Biology, Medicine, Public Health, Research
  • Nov
    3
    11:00am - 12:30pm

    November Academic Grand Rounds

    Implementation Science: Driving Health Policy Change in Learning Health Systems

    Amy Kilbourne, Ph.D., MPH

    Associate Chair for Research

    Professor of Learning Health Sciences

    Director, Quality Enhancement Research Initiative (QUERI)

    U.S. Department of Veterans Affairs

    Faculty, U-M Institute for Healthcare Policy and Innovation (IHPI)

    Wednesday, November 3, 2021◊ 11:00 am - 12:30 pm

    More Information Biology, Medicine, Public Health, Education, Teaching, Instruction, Mathematics, Technology, Engineering, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research, Social Sciences
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • Nov
    2

    Please join us for our Fall 2021 Implementation Science Seminar series, featuring speakers at Brown University, Providence VA and University of California San Diego, for presentations on sustainability, implementation strategies, hybrid trial designs, implementation blueprints and policy implementation. The sessions will run on Tuesdays from 10-11 am between November 2 and December 7, 2021.

    Tuesday, November 2

    Rani Elwy, PhD: “How to Plan for and Assess Sustainability of Evidence-Based Practices”
    Register Now More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • This workshop will cover basic performance optimization techniques using parallel computing techniques in MATLAB, including: parallel for-loops (parfor), single program multiple data (spmd), and distributed arrays. We assume that participants have a relatively advanced knowlege of the MATLAB programming language and have written at least one scientific computing application.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register More Information Research
  • Nov
    1
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speakers: Professor Megan Saylor & Laura Janakiefski - graduate student
    Vanderbilt University
    Title: Designing a lexicon: Preschoolers evaluate and elicit information about word meanings
    Abstract: Preschoolers are prodigious word learners. Many proposals for what underlies their success describe the ease with which they use various sources of information about word meaning including regularities in the input, constraints, and social pragmatic cues. What each of these proposals has in common is a model of the child as a relatively passive participant in the word learning exchange who capitalizes on whatever bits of information happen to be available. Many methods that investigate children’s word learning rely on this model: experimenters offer children information and then test their response to it without allowing for children’s contributions to shape or tune the information they receive. One possibility is that the nature of the proposals and model of the child in these proposals have obscured children’s active participation in the word learning process. Recent research from my lab has revealed that preschoolers are active consumers of information about new word meanings: preschoolers evaluate verbal definitions for their informativeness, ask questions about new words, and tailor their questions to maximize information gain. This work lays the foundation for investigations of the impact of children’s questions on label acquisition and provides a glimpse of children’s active construction of their lexicon.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • CLPS - Michael S. Goodman ’74 Memorial Colloquium Series

    Speaker: Dr. Jessi Grieser

    Title: What We Talk About When We Talk About Gentrification

    Abstract:  In this talk, I’ll discuss the Big-D discourses of gentrification and the ways they serve as a form of abstract liberalism to obscure the racialized nature of change. Drawing on ten years of sociolinguistic interview data from the neighborhood of Anacostia, in Washington, D.C., I’ll demonstrate how the ways Anacostians talk about their space counters those Big-D discourses at the discourse level, at the narrative level, and at the morphosyntactic level in ways which serve to re-racialize the process of gentrification and strip the agency of outsiders to determine what constitutes “good change.” I then back out to look at the bigger questions of the ways gentrification is considered an a-racialized process and how the residents’ talk brings race to the forefront, rejecting the colorblind racism assumptions inherent in the abstract liberalism appeal.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    29
    Virtual and In Person
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: David Melnikoff - Postdoctoral Fellow - Northeastern University
    Title: How Goals Change Minds
    Abstract: Pablo Picasso once said, “Our goals can only be reached through a vehicle of a plan, in which we must fervently believe, and upon which we must vigorously act. There is no other route to success.” This sentiment captures an intuition all of us share: Goal pursuit is hard work and demands careful, controlled deliberation. But is this intuition true? I will share research revealing how goals defy conventional wisdom by unintentionally, uncontrollably, and effortlessly promoting their own attainment. Specifically, I will show how goals automatically reconfigure three domains of human cognition: moral judgment, belief formation, and subjective experience.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    29
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Oct
    28
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Professor Li Li, NYU Shanghai (CLPS Alum)

    Title: Comparing the perception of 2D motion patterns versus optic flow

    Abstract: A long-standing question in the field of human perception and action is whether people rely on 3D information in optic flow to perceive the direction of self-movement (i.e., heading) or simply rely on 2D features such as focus of expansion (FoE) in the flow field to achieve this task. A related standing question is whether the brain areas that respond to optic flow respond to 2D global motion patterns in general or show unique responses specific to optic flow. To address these questions, we varied the motion coherence level in contraction and expansion random-dot motion patterns and found that the pattern detection threshold was significantly higher for expansion than contraction 2D motion patterns, but this trend was reversed for optic flow stimuli. The center discrimination threshold was also significantly higher for expansion than contraction 2D motion patterns, but this trend disappeared for optic flow stimuli. We then conducted a human brain-imaging study and found that although all the reported cortical areas that respond to optic flow responded to both contraction and expansion motion patterns, only area MST showed a higher decoding accuracy for contraction than expansion 2D motion patterns and a reversed trend for optic flow stimuli, consistent with the behavioral data. These findings provide direct evidence to support the claim that the brain has areas dedicated to process optic flow and the perception of heading involves more than locating FoE in the flow field. The findings also raise the question whether area MST could be an expertise area along the dorsal visual pathway that becomes more sensitive to detect expansion optic flow due to frequent forward self-movement in daily life.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    27
    Virtual
    4:00pm - 5:00pm

    Machine Learning Series: Joe Hogan, ScD

    Join Advance-CTR and the Data Science Initiative at Brown for this 5-part series exploring machine learning, its methodology, and application in biomedicine and health. The purpose of this series is to serve as an introduction to machine learning for researchers, clinician scientists, and others who may be interested in using these methods in their research.

    Wednesday, October 27 

    Joe Hogan, ScD: “The Role of Machine Learning in Predictive and Causal Inference”

    Many machine learning methods can be formulated as complex but flexible statistical models. A common and important use of the models is to generate accurate predictions from a large set of covariates. When prediction is the goal, machine learning methods can learn prediction rules that involve interactions, nonlinearities, and other characteristics of the prediction function that would be difficult to know in advance.

    In this talk I demonstrate the utility of machine learning for generating causal inferences. For large-scale observational data, causal inference typically requires the correct specification of one or more component models for the purpose of confounder adjustment. This applies to propensity score methods, inverse probability weighting, regression adjustment, and standardization. The component models are not usually of direct interest, but in cases where there are many potential confounders they can be difficult to specify in advance.

    I will first describe the key differences between predictive and causal inference. Then, using a couple of examples from HIV and infectious disease research, I will illustrate how machine learning algorithms that can be formulated as ‘proper’ statistical models play a key role in the process of generating causal inferences.

    About the Speaker

    Professor Hogan’s research concerns the development and application of statistical methods for large-scale observational missing data. He is interested in causal inference, missing data, and quantifying uncertainty associated with untestable assumptions. Nearly all of his work is motivated by applications in HIV/AIDS and infectious disease. For the past several years he has co-led an NIH-funded international training program designed to build research capacity in biostatistics at Moi University in Kenya.

    Register Now More Information Biology, Medicine, Public Health, Research, Training, Professional Development
  • Oct
    25

    This workshop will cover basic performance optimization techniques using MATLAB, including: code profiling, pre-allocation, sequential memory access, vectorization, and efficient matrix-vector storage and operations. We will assume that participants have a basic understanding of the MATLAB programming language.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register More Information Research
  • Oct
    25
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Viridiana L. Benitez, Assistant Professor, Arizona State University

    Title: Bilingual word learning under uncertainty

    Abstract: A challenge for young word learners is figuring out the referents of words from learning moments that are ambiguous. Furthermore, a large proportion of young word learners grow up in bilingual contexts, having to learn the words in each of their languages that refer to the same thing. How do learners acquire two words for the same thing when faced with ambiguous word learning events? In this talk, I will describe three experiments that examine adults’ and children’s object-name learning from ambiguous input simulating a bilingual environment. The first study shows that under ambiguity, adults can learn two names for an object, but they do so less accurately than learning a single name for an object. The second study shows that children are also capable of learning two names for an object under ambiguity, but this ability becomes more robust with age. In the third study, we demonstrate that a cue differentiating two names for an object (lexical tone) boosts learning, but only in adults familiar with that cue (Chinese-English bilinguals). Together, these findings show that age and language experience affect bilingual word learning under uncertainty. I will end the talk by considering what factors may affect bilingual word learning in the real-world learning contexts of the developing child.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    22
    Virtual
    2:00pm - 3:30pm

    Cognition Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Leor Zmigrod - Research Fellow - University of Cambridge
    Title: A neurocognitive model of ideological thinking
    Abstract: Since the birth of modern civilization, humans have been creating stories that capture their theories about how the world works and how they should act within this complex world. These narratives both describe and prescribe human action, and exist in a kaleidoscope of forms – from religious doctrines to authoritarian nationalism to political manifestos. Why and how do these explosive ideologies seduce and captivate the human brain? The talk will synthesize an emerging research program on the cognitive underpinnings of ideological thinking, which examines how perceptual traits shape individuals’ ideological dogmatism, extremism, and beliefs. Importantly, this line of inquiry differs from traditional approaches in political psychology because it applies theories and empirical techniques from cognitive psychology and neuroscience in order to address the fundamental questions: What makes some brains more dogmatic than others? What perceptual and cognitive traits lead to ideological tendencies? And how do these individualized psychological processes percolate into the realm of collective doctrines and social relations? In its entirety, this research program aims to illustrate that we can build a cognitive science of the ideological mind, and that this can reveal why minds become dogmatic, hostile, and extreme - as well as, hopefully, how minds can become open-minded, tolerant, and receptive to evidence.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    22
    Virtual
    1:30pm - 2:30pm

    Pediatric Research Colloquium

    Join Virtual EventInstructions: Meeting ID: 567 679 7348
    Passcode: Pediatrics

    “The Blood-Brain Barrier in Epilepsy:

    From Dysfunction to Repair”

    Björn Bauer, Ph.D.
    Professor of Pharmacy

    Department of Pharmaceutical Sciences

    College of Pharmacy
    University of Kentucky

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Oct
    22
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Oct
    21
    Join Virtual EventInstructions: Meeting ID: 978 5998 6393
    Passcode: 451768

    Carney Methods Meetups are informal gatherings focused on methods for brain science, moderated by Jason Ritt, Carney’s scientific director of quantitative neuroscience. Mete Tunca, associate director of research systems and services in Brown’s Center for Computation and Visualization, will join Ritt in an open discussion about data storage and management challenges produced by increasingly large experimental data sets, such as produced by fluorescence imaging, multichannel electrode recordings, fMRI, bioinformatics, and behavioral videos.

    Experimentalists need to choose wisely between options ranging from local hard drive stacks, university servers (e.g. Isilon or Stronghold), and/or commercial cloud providers, but often with limited guidance for the diverse sources and uses of data across brain science.

    Please direct questions to Jason Ritt.

    Notes from previous Meetups are available online.

    Please note, this workshop requires you to be logged into Zoom through your Brown account.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • Oct
    21
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Dr. Karla Evans, Associate Professor, York University

    Title: On Nature of Visual Non-Selective Processing and How It Can Help Advance Early Cancer Detection

    Abstract: Visual awareness of everyday complex environments involves both non-selective processing for extraction of global image properties and summary statistics of the scene and selective processing to individuate, identify and localize objects. Together they give us a rich perceptual experience. Evidence suggests that these two types of processing involve different visual attentional mechanisms and do not work on the same time scale, but we still have limited understanding of non-selective processing and whether or how it interacts with selective processing.

    My presentation will aim to reveal the nature of non-selective processing from examining human perceptual behavior both for everyday scenes and medical images. Further it will examine the relationship between the types of processes that afford us visual awareness. I will conclude with evidence to argue for the unique utility of rapid non-selective processing for early cancer detection.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Please contact [email protected] for passcode

    Title:  Brain dynamics related to short-term memory and learning

    More Information Biology, Medicine, Public Health, Research
  • Join Advance-CTR and the Data Science Initiative at Brown for this 5-part series exploring machine learning, its methodology, and application in biomedicine and health. The purpose of this series is to serve as an introduction to machine learning for researchers, clinician scientists, and others who may be interested in using these methods in their research.

    Wednesday, October 20, 2021

    Ruotao Zhang, MScRole of Calibration in Uncertainty-based Referral for Deep Learning”

    The uncertainty in predictions from deep neural network analysis of medical imaging is challenging to assess but potentially important to include in subsequent decision making. Using data from diabetic retinopathy detection, we present an empirical evaluation of model performance and the impact of uncertainty-based referral, an approach that prioritizes referral of observations based on the magnitude of a measure of uncertainty. We consider several configurations of network architecture, method for uncertainty estimation, and training data size. We identify a strong relationship between the effectiveness of uncertainty-based referral and having a well-calibrated model. This is especially relevant as complex deep neural networks tend to have high calibration errors. Finally, we provide evidence that post-calibration of the neural network can improve uncertainty-based referral.

    Dilum Aluthge, MD, PhD student: “Supervised Machine Learning Workflows for Electronic Health Records”

    Supervised machine learning can be used to develop clinical decision support systems for use in electronic health records (EHRs). The first portion of the talk will provide an overview of the supervised machine learning workflow. The second portion will present an example application ofclassification using EHR data, specifically the problem list and medication list from a patient’s chart.

    Optional Readings: 

    1. Rajkomar A, Dean J, Kohane I. Machine Learning in Medicine. N Engl J Med. 2019 Apr 4;380(14):1347-1358. doi: 10.1056/NEJMra1814259. PMID: 30943338.

    2. Sinha I, Aluthge DP, Chen ES, Sarkar IN, Ahn SH. Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR. J Vasc Interv Radiol. 2020 Jun;31(6):1018-1024.e4. doi: 10.1016/j.jvir.2019.11.030. Epub 2020 May 4. PMID: 32376173.

    About the Speakers

    Ruotao Zhang is a PhD student in the Department of Biostatisticsunder the supervision of Dr Steingrimsson and Dr Gatsonis. Before coming to the US, he worked as a data scientist at China Resources Holdings. Ruotao graduated from University of Oxford with a MSc in Applied Statistics, and before that he obtained a BSc in Mathematics from Imperial College London. His research interests focus on statistical machine learning methods with application to biomedical data. 

    Dilum Aluthge is an MD/PhD student at the Brown Center for Biomedical Informatics, Center for Computational Molecular Biology and the Warren Alpert Medical School. His advisors are Dr. Neil Sarkar and Dr. Liz Chen. His research focuses on the theoretical concepts of learning health systems as well as the practical considerations of their implementation. Specific areas of interest include machine learning, clinical decision support, health information exchange, standards and interoperability, and physiologic reserve. Dilum earned his Bachelor of Science in Applied Mathematics at Brown. He is the co-creator of the PredictMD machine learning framework, which is implemented in the Julia programming language. He is also the founder of the JuliaHealth open source organization.

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  • What are the challenges to consider in drug discovery focused on GPCRs?

    Join the Carney Institute for Brain Science for an interactive conversation with Brian Kobilka, M.D., Helene Irwin Fagan Chair of Cardiology and professor of molecular and cellular physiology at Stanford University, about how we can apply lessons learned from his research into the structure and mechanism of activation of G protein coupled receptors (GPCRs) to strategies for drug design. 

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute. 

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Entrepreneurship, Research
  • Oct
    20
    Virtual and In Person
    12:00pm - 1:30pm

    LingLangLunch Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Amalia Skilton- Cornell University

    Title: Learning speaker- and addressee-centered demonstratives in Ticuna

    Abstract: Children acquiring English, Turkish, and Mandarin produce demonstrative words, such as this/that and here/there, very early in development – but do not display adult-like use or comprehension of the items until very late (Clark & Sengul 1978, Tanz 1980, Kuntay & Ozyurek 2006, Chu & Minai 2018). Children’s late mastery of demonstratives is typically attributed to their cognitive bias toward egocentrism, predicting that addressee-proximal demonstratives (that near you) will pose an even greater challenge for learning than the speaker-proximal (this near me) and speaker-distal (that far from me) demonstratives of English.

    To test this prediction, I investigate the learning of addressee-proximal vs. speaker-centered (proximal and distal) demonstratives by 45 children, aged 1;0 to 4;11, acquiring Ticuna (isolate; Brazil, Colombia, Peru). Within this sample, no age group of children displayed adult-like use of the Ticuna addressee-proximal demonstrative. One- and two-year-olds did not produce the addressee-proximal at all, instead relying exclusively on speaker-centered demonstratives. Three- and four-year-olds did produce the addressee-proximal, but their production remained non-adult-like: they used the addressee-proximal less than adults, and speaker-centered items more. The results support egocentrism as an explanation for the late mastery of demonstratives, and indicate that this cognitive bias can inhibit the learning of even extremely high-frequency words.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Zoom: https://brown.zoom.us/my/fyang

    Add to calendar: Google Calendar

    Data visualization is an expression of the world. It vividly conveys crucial information about the seemingly impossible and guides us to further data-based scientific knowledge. With the advancement of science, data, analyses, and models have become quite complex. This complexity increasingly challenges the expressive power of visualization, and we desire tools and methods to support the advancement of science.

    This dissertation aims to empower data visualization for scientific thinking by bringing in knowledge from other disciplines and building methods for understanding users in three dimensions: breadth, depth, and height. In the dimension of breadth, this dissertation provides new designs (e.g., virtual reality systems) that can assist end-users in reading scholarly articles or understanding the results of a machine-learning model. In the dimension of depth, this dissertation aims to understand the scientific thinking of end-users. It investigates human vision to disambiguate and model users’ perceptual judgments of summary statistics in visualizations. It also introduces and implements new quantitative metrics based on locomotion data. Finally, in the dimension of height, this dissertation attempts to bring more advanced computational methods and models to facilitate current visualization research, such as using Bayesian multilevel modeling and deep-learning approaches to help understand users’ behavioral data.

    In this talk, I will focus on the dimension of breadth to present our studies on new visualization and virtual reality designs for reading articles and understanding a deep-learning model output. I will also briefly introduce the modeling of users’ perceptual judgments in data visualization.
    Host: Professor David H. Laidlaw
    More Information 
  • Oct
    19
    Virtual
    4:00pm - 5:00pm

    Molecular Cellular Neuroscience Seminar

     

    Structural insights into the dynamic process of G protein coupled receptor activation

    Brian Kobilka, M.D.

    Helene Irwin Fagan Chair of Cardiology

    Professor, Molecular and Cellular Physiology

    Stanford University

     

    Please join us the following day on Wednesday, October 20, for a moderated discussion with Dr. Kobilka on challenges in drug discovery for GPCRs.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Research
  • Join Virtual EventInstructions: Meeting ID: 991 0318 2470

    Sleep and Peripubertal Anxiety: A Developmental Translational Neuroscience Story

    Dana McMakin, Ph.D.

    Associate Professor of Psychology and Director of REMEDY Research Group

    Florida International University

    This talk describes a program of research focused on sleep and anxiety in youth at the cusp of adolescence, with a particular focus on emotional memory processing. The long-term goal of this work is to sharpen models of developmental psychopathology in ways that can inform intervention during this sensitive period.

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  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • Oct
    18
    Virtual
    3:00pm - 4:00pm

    Workshop - Using MATLAB on Oscar

    An introduction to using MATLAB on Oscar. Topics covered include: working with MATLAB interactively on Oscar, using the MATLAB GUI, and using MATLAB in batch jobs.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

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  • Oct
    18
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Lin Bian - Assistant Professor - University of Chicago
    Title: The developmental roots of the gender gap in academia and beyond
    Abstract: Intellectual giftedness is culturally associated with men rather than women. I will describe a line of research that investigates the acquisition and consequences of this “brilliance = men” stereotype. With respect to acquisition, I will present evidence that, by the age of 6, girls are already less likely than boys to believe that members of their gender are “really, really smart.” Next, I will document two consequences of this stereotype. First, the idea that brilliance is a male trait undermines girls’ and women’s interest in activities that are believed to require a high level of intellectual ability. Second, this stereotype gives rise to biases against girls and women in contexts where brilliance is seen as important. Finally, I will present some data suggesting ways to promote girls’ interest in traditionally male-dominated fields. These findings speak to the early acquisition of cultural connections between brilliance and men, and to the potential role of these stereotyped notions in creating and sustaining inequities in career outcomes.

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  • Oct
    15
    Virtual and In Person
    4:00pm

    Virtual COBRE Overdose Hackathon

    Join Virtual EventInstructions: 

    Please register via Airmeet and add your designation, affiliation, preferred headshot, and a short bio.

    Innovate to stop overdose! The 2021 COBRE Overdose Hackathon seeks innovators to create solutions to help address preventable drug overdose.

    We would like to invite you to participate in the virtual COBRE Overdose Hackathon which will be held on Friday, October 15th through Sunday, October 17th, 2021 with a kick-off event that can be joined virtually on the platform Airmeet or in-person at District Hall in Providence from 4-8 pm (Located at 225 Dyer Street). Virtual networking and matchmaking opportunities will be made available throughout the event, and a series of amazing speakers will share community, healthcare, and policy perspectives related to the overdose problem, including Dr. Brandon Marshall from Brown School of Public Health and Dr. Kim Sue from the National Harm Reduction Coalition!

    The top three teams will receive $400 per person and will have the opportunity to receive funding to further develop their idea!

    Eventbrite registration More Information 
  • Oct
    15
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Emma Templeton (PhD student at Dartmouth)
    Title: A naturalistic approach to studying conversation
    Abstract: Social connection is critical for our mental and physical health, yet assessing and measuring connection has been challenging. In this talk, I demonstrate that a feature intrinsic to conversation itself—the speed with which people respond to each other—is a simple, robust and sufficient metric of social connection. Strangers and friends feel more connected when their conversation partners respond quickly and people who respond faster on average evoke greater feelings of connection across partners. Because extremely short response times (<250ms) preclude conscious control, they provide an honest signal that even eavesdroppers use to judge how well two people “click.” I will also highlight how taking a naturalistic approach to studying conversation can generate new insights about social interaction.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • CAAS Rounds presents: Neuroscience and Emotion in Human Rights, Wellness and Disease with Dr. Tara White

    More Information 
  • Oct
    15
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Title: Multiple Sclerosis 

    Speakers: 

    Sonia Mayoral, PhD, Robert J. and Nancy D. Carney Assistant Professor of Neuroscience

    Syed A. Rizvi, MD Associate Professor of Neurology, Clinician Educator

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  • Oct
    14
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:  Guido Maiello, PostDoc
    Justus Liebig University Giessen

    Title: How humans visually select where to grasp objects

    Abstract: Vision constantly guides our hands toward objects to grasp them. With equal surety we grab a towel to wipe the counter, stir a spoon in our cup, unscrew the lid off a jar. These seemingly mundane actions require sophisticated visual and motor processes. From visual estimates of object shape, size, and physical properties, we correctly pre-shape our articulated hands to grasp and execute complex tasks. Even though grasping pervades nearly every aspect of our daily lives, we do not yet understand how our visual system derives grasp-relevant information, exactly what this information is in the first place, or how it is transformed into motor
    commands. In this talk, I will discuss a series of studies from our group in which we explore
    how humans visually select where and how to grasp objects. To uncover the visuomotor
    computations that guide grasping, in a first set of behavioural experiments we employed high-
    precision motion tracking systems to measure grasp configurations and grip contact locations
    on everyday and 3D-printed objects of different materials with both common and novel surface
    geometries. We found that human grasps are highly constrained, and we developed a
    computational framework capable of predicting digit contact locations with striking fidelity. In
    ensuing experiments, we asked participants to report which of two competing grasps was best.
    We found that participants could determine grasp quality even without performing the
    grasp—perhaps through motor imagery—and further refined their understanding of how to
    correctly grasp an object through sensorimotor feedback. In separate investigations, we
    observed that participants could visually assess whether a surface would feel slippery to the
    touch, and found that participants willingly adopted unusual grasp configurations to avoid these
    slippery surfaces. In ongoing work, we are collating behavioural, theoretical, and modeling
    results into targeted investigations of brain activity to uncover the brain networks and
    computations underlying human visually guided grasping behaviour.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    13

    Join Advance-CTR and the Data Science Initiative at Brown for this 5-part series exploring machine learning, its methodology, and application in biomedicine and health. The purpose of this series is to serve as an introduction to machine learning for researchers, clinician scientists, and others who may be interested in using these methods in their research.

    Wednesday, October 13, 2021:

    Yichi Zhang, PhD: “Interpretable Individualized Treatment Rules Using Decision Lists”

    Precision medicine is currently a topic of great interest in clinical science. One typical way to formalize precision medicine is through an individualized treatment rule, which is a sequence of rules, one per each stage of intervention, that map up-to-date patient information to a recommended treatment. An optimal individualized treatment rule is defined as maximizing the mean of some cumulative clinical outcome if applied to a population of interest. In many settings, estimation of an optimal individualized treatment rule is an exploratory analysis intended to generate new hypotheses for subsequent research and not to directly dictate treatment to new patients. In such settings, a rule that is interpretable in a domain context may be of greater value than an unintelligible one built using “black-box” methods. In this talk, I will present a causal inference framework for estimating an optimal individualized treatment rule and discuss its connection to reinforcement learning. Then, I will describe an estimator of an optimal and interpretable rule, which is expressible as a list of “if-then” statements that can be presented as either a paragraph or as a simple flowchart that is immediately interpretable to domain experts. The proposed method will be illustrated using a clinical trial dataset.

    About the Speaker

    Yichi Zhang is an assistant professor in the Department of Computer Science and Statistics at the University of Rhode Island. He received his PhD in Statistics from North Carolina State University and received postdoctoral training at Harvard School of Public Health. His research focuses on data-driven decision-making and sequential causal inference with applications to biomedical problems.

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  • Catatonia, Evaluation, Treatment and Consideration in a Pediatric Population
    Robert Ostroff, M.D.
    Clinical Professor of Psychiatry, Yale University
    Medical Director of The Mood Disorders Unit and
    Co-Medical Director of the Interventional Psychiatry Service
    Yale Psychiatric Hospital
    Wednesday, October 13, 2021◊ 11:00 am - 12:00 pm
    Course Link: https://cme-learning.brown.edu/CA-21-22
    Join Zoom Meeting: https://brown.zoom.us/j/91572597604
    Meeting ID: 915 7259 7604

    More Information Biology, Medicine, Public Health, Education, Teaching, Instruction, Physical & Earth Sciences, Psychology & Cognitive Sciences, Social Sciences
  • Oct
    12
    4:00pm - 5:00pm

    Carney Faculty Chalk Talk

    Join Carney’s Center for the Neurobiology of Cells and Circuits for a faculty chalk talk featuring Alex Jaworski, June G. Zimmerman Associate Professor of Brain Science.

    Please note, this event is open to faculty members only.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Oct
    12
    Virtual and In Person
    4:00pm - 5:00pm

    Biology of Aging PAARF

    Join Virtual EventInstructions: 

    Meeting ID: 991 2112 5499

    Passcode: 642696

    PAARF: Amy Elias and Anders Ohman

    More Information 
  • How does uncertainty influence how we make decisions?

    Join the Carney Institute for Brain Science for a conversation about uncertainty and decision-making, featuring:

    • Emily Oster, Royce Family Professor of Teaching Excellence and Professor of Economics, whose academic work focuses on health economics and statistical methods
    • Amitai Shenhav, Assistant Professor of Cognitive, Linguistic and Psychological Sciences, whose research is focused on the neuroscience of motivation, decision-making and cognitive control

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • The Department of Behavioral and Social Sciences is pleased to bring the i-BSHS (Innovations in Behavioral and Social Health Sciences) Seminar Series to the Brown University School of Public Health. The i-BSHS lecture series fosters collaborative discussion on innovative behavioral and social science-based approaches to improving population health.The first guest speaker this year is Angela Haeny, Ph.D. This event is co-sponsored by the C.V. Starr Foundation and the Brown University Center for the Study of Race and Ethnicity in America. 

    Dr. Angela Haeny is an Assistant Professor of Psychiatry at Yale School of Medicine and a licensed Clinical Psychologist with specialty in substance use disorders. She received her undergraduate degree in Psychology and Addiction Studies from the University of Minnesota, received her doctorate from the University of Missouri, completed her internship in Clinical and Community Psychology at Yale School of Medicine, and completed a NIDA T32 postdoctoral fellowship through the Division of Prevention and Community Research at Yale School of Medicine. Dr. Haeny is committed to eliminating racial disparities and enhancing diversity, equity, and inclusion, which cuts across all aspects of her work. Her research involves addressing race-related stress to improve drug and alcohol treatment outcomes among Black adults.

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing and otherwise displaying the recording, within its sole discretion.
    More Information Biology, Medicine, Public Health, Humanities, Identity, Culture, Inclusion, Psychology & Cognitive Sciences, Research, Service, Engagement, Volunteering, Social Sciences
  • Oct
    8

    Join Advance-CTR and the Data Science Initiative at Brown for this 5-part series exploring machine learning, its methodology, and application in biomedicine and health. The purpose of this series is to serve as an introduction to machine learning for researchers, clinician scientists, and others who may be interested in using these methods in their research.

    Friday, October 8, 2021: 

    Roberta De Vito, PhD: “Cross-Study Machine Learning Techniques: Reproducibility and Differences Across Studies”

    Biostatistics and computational biology are increasingly facing the urgent challenge of efficiently dealing with a large amount of experimental data. In particular, high-throughput assays are transforming the study of biology, as they generate a rich, complex, and diverse collection of high-dimensional data sets. Through compelling statistical analysis, these large data sets lead to discoveries, advances and knowledge that were never accessible before, via compelling statistical analysis. Building such systematic knowledge is a cumulative process which requires analyses that integrate multiple sources, studies, and technologies. The increased availability of ensembles of studies on related clinical populations, technologies, and genomic features poses four categories of important multi-study statistical questions: 1) To what extent is biological signal reproducibly shared across different studies? 2) How can this global signal be extracted? 3) How can we detect and quantify local signals that may be masked by strong global signals? 4) How do these global and local signals manifest differently in different data types? We will answer these four questions by introducing a novel class of methodologies for the joint analysis of different studies. The goal is to separately identify and estimate 1) common factors reproduced across multiple studies, and 2) study-specific factors. We present different medical and biological applications. In all the cases, we clarify the benefits of a joint analysis compared to the standard methods. Our method could accelerate the pace at which we can combine unsupervised analysis across different studies, and understand the cross-study reproducibility of signal in multivariate data.

    About the Speaker

    Roberta De Vito is a statistician with a passion for teaching and developing statistical tools for cancer research and disorder risk, with particular focus on epidemiology and genomics. Currently, she is Assistant Professor in the department of Biostatistics and at the Data Science Initiative at Brown University. She completed her Ph.D. in Statistical Science at the University of Padua, advised by Giovanni Parmigiani at Harvard University where she developed her thesis work. The main research interest is latent variable model, Bayesian non parametric, variable selection via sparsity prior, machine learning and big data with particular focus on genomics and epidemiology. She was a postdoc at Princeton University in Barbara Engelhardt’s group where she developed Bayesian and latent variable discrete model in high-dimensional biological and epidemiological data. Her passion for teaching developed at Princeton University where she taught some classes and had the opportunity to mentor Master and PhD students. Some of her previous mentees are now pursuing successful research careers in biostatistics and data science also across Ivy League universities, like Harvard University, Princeton and MIT. Her website https://rdevito.github.io/web/ provides complete details.

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  • Oct
    8
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Title: Large-Scale Network Organization in the Human Brain and Its Relevance to Mental Illness

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Oct
    7
    Virtual and In Person
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Melisa Menceloglu - PostDoc - CLPS - Brown

    Title: Radial bias alters perceived object orientation

    Abstract: Orientation selectivity is a fundamental property of the visual system, but not all orientations are created equal. Here, we discuss a robust visual illusion that the authors experienced by chance that is likely due to biased orientation sensitivity. The authors confidently reported seeing slanting objects when the objects were actually horizontally or vertically oriented. A closer look revealed that the illusory rotations happened such that some objects were incorrectly perceived to be radially oriented with respect to the center of gaze. In fact, research has shown that radial orientations, those that are aligned with a line intersecting the center of gaze, produce greater activity throughout the visual cortex and are associated with greater perceptual sensitivity compared with other orientations. While radial orientation bias has been demonstrated for low level visual features, could it lead to a non-radially oriented object appearing radial?

    To confirm our accidental illusion and its source as radial orientation bias, we conducted two experiments. In Experiment 1, participants (N=18) judged the orientation of a peripherally placed Landolt C presented in one of eight orientations and in one of eight locations along four meridians (vertical, horizontal, 45° and 135°) centered on the fixation point. The target Landolt C was pre-cued and presented among seven other non-target Landolt Cs of various orientations. Participants responded by clicking on a centrally placed ring to indicate the location of the gap in the Landolt C. The distributions of the errors (the angle between the position of the actual gap and perceived gap) across different orientations and locations indicated that the perceived gap was often aligned with the radial axis. For instance, the gap in a regular C would often be wrongly perceived as tilted 45° corresponding to the oblique meridian where it was placed. We then replicated the same pattern of results in Experiment 2 (N=18) with a single target version of the task, suggesting that the illusion was strong enough to apply to an isolated object and was unrelated to pre-allocation of attention. Lastly, in both experiments, participants reported having high confidence in their responses over 60% trials, indicating that at least some of the instances of the illusion occurred with high confidence. Overall, this pattern of results extends the radial bias findings by providing a novel example of early visual biases altering object perception and recognition.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • **This talk will be held both in-person in CIT 368, and through a virtual option: https://brown.zoom.us/j/93695915402 Meeting ID: 936 9591 5402**

    Abstract: Can we balance efficiency and reliability while designing assistive AI systems? What would such AI systems need to provide? In this talk I will present some of our recent work addressing these questions. In particular, I will show that a few fundamental principles of abstraction are surprisingly effective in designing efficient and reliable AI systems that can plan and act over multiple timesteps. Our results show that abstraction mechanisms are invaluable not only in improving the efficiency of sequential decision making, but also in developing AI systems that can explain their own behavior to non-experts, and in computing user-interpretable assessments of the limits and capabilities of Black-Box AI systems. I will also present some of our work on learning the requisite abstractions in a bottom-up fashion. Throughout the talk I will highlight the theoretical guarantees that our methods provide along with results from empirical evaluations featuring decision-support/digital AI systems and physical robots.

    Bio: Siddharth Srivastava is an Assistant Professor of Computer Science in the School of Computing and Augmented Intelligence at Arizona State University. Prof. Srivastava was a Staff Scientist at the United Technologies Research Center in Berkeley. Prior to that, he was a postdoctoral researcher in the RUGS group at the University of California Berkeley. He received his PhD in Computer Science from the University of Massachusetts Amherst. His research interests include robotics and assistive AI, with a focus on reasoning, planning, and acting under uncertainty. His work on integrated task and motion planning for household robotics has received coverage from international news media. He is a recipient of the NSF CAREER award, a Best Paper Award at the International Conference on Automated Planning and Scheduling (ICAPS) and an Outstanding Dissertation Award from the Department of Computer Science at UMass Amherst. He served as conference chair for ICAPS 2019 and currently serves as an Associate Editor for the Journal of AI Research.

    (Please note the speaker will deliver this talk virtually in CIT 368.)

    Host: George Konidaris

    More Information 
  • Oct
    6
    Virtual and In Person
    12:00pm - 1:30pm

    LingLangLunch Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Mieke Slim- PhD Student - Ghent University
    Title: Mental representations of compositional semantic structure: Evidence from priming
    Abstract: Doubly-quantified sentences like All men bit a dog are ambiguous between a reading in which all men bit a different dog and a reading in which one (very poor!) dog is bitten by all men. The interpretations of such sentences are assumed to be mentally represented at the level of logical (form)representations, which specify the compositional semantic structure of sentence meanings. According to many semantic theories, these logical representations are separate from both syntactic representations and lexical representations of the conceptual content of the sentence (e.g., Heim & Kratzer, 1998; Ruys & Winter, 2010).

    But what is the nature of such logical representations in the mind of a language users? Which information is (and isn’t) specified in logical form representations? In this talk, I will discuss these questions by presenting the results of several priming studies that investigated the psychological realization of logical representations in language comprehension (see also Feiman & Snedeker, 2016; Raffray & Pickering, 2010). These results suggest that logical representations abstract away from language-specific and quantifier-specific biases in the interpretation of semantically ambiguous sentences, but they do seem to specify aspects of verb meaning. Based on the (limited) evidence we have at hand; it thus seems that logical representations specify the number of participants in the event described in the sentence.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    6
    11:00am - 12:30pm

    DPHB Academic Grand Rounds

    The Annual Dr. Henrietta Leonard Visiting Professor Academic Grand Rounds*
    Updates on the Treatment of Early-Onset Depression
    Graham J. Emslie, M.D.
    Professor Psychiatry/Pediatrics
    Charles E. and Sarah M. Seay Chair Child Psychiatry
    UT Southwestern Medical Center and Children’s Medical Center

    Course Link: https://cme-learning.brown.edu/DPHB-21-22
    Join Zoom Meeting: https://brown.zoom.us/j/93265817787
    Meeting ID: 932 6581 7787

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research
  • Bevil R. Conway, neuroscientist and artist, visits the Pembroke Center to present the lecture “Color Coded: in neuroscience and culture.” In the lecture, associated with the 2021-22 Pembroke Seminar “Color,” Conway examines the dogma that color vision plays a modest role in encoding and recognizing objects, and uses arguments from neuroscience, culture, and personal history to argue that color plays a fundamental role in perception and cognition.

    Sponsored by the Marshall Woods Lectureships Foundation of Fine Arts.

    More Information 
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Contact Elyse or Carol for passcode

    More Information 
  • Oct
    4
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Nicole McNeil - Professor Notre Dame
    Title: Little things mean a lot: Small variations in the structure of input affect children’s understanding of mathematics
    Abstract: It is obvious that broad, holistic differences in children’s environments (e.g., differences in socioeconomic status) affect math learning outcomes, but what about more localized, fine-grained aspects of the learning environment? In this talk, I will present evidence that even seemingly minor differences in the structure and format of input can lead to important differences in children’s understanding of foundational mathematics concepts.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    1
    Virtual and In Person
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Jae-Young Son - PhD Student - Brown
    Title: Cognitive maps of social features enable flexible inference in social networks
    Abstract: In order to navigate a complex web of relationships, an individual must learn and represent the connections between people in a social network. However, the sheer size and complexity of the social world makes it impossible to acquire firsthand knowledge of all relations within a network, suggesting that people must make inferences about unobserved relationships to fill in the gaps. Across three studies (n = 328), we show that people can encode information about social features (e.g., hobbies, clubs) and subsequently deploy this knowledge to infer the existence of unobserved friendships in the network. Using computational models, we test various feature-based mechanisms that could support such inferences. We find that people’s ability to successfully generalize depends on two representational strategies: a simple but inflexible similarity heuristic that leverages homophily, and a complex but flexible cognitive map that encodes the statistical relationships between social features and friendships. Together, our studies reveal that people can build cognitive maps encoding arbitrary patterns of latent relations in many abstract feature spaces, allowing social networks to be represented in a flexible format.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    1

    Join Advance-CTR and the Data Science Initiative at Brown for this 5-part series exploring machine learning, its methodology, and application in biomedicine and health. The purpose of this series is to serve as an introduction to machine learning for researchers, clinician scientists, and others who may be interested in using these methods in their research.

    Friday, October 1, 2021:

    Carsten Eickhoff, PhD: “An Introduction to Machine Learning” 

    This talk will introduce the basic components of machine learning systems and research papers and introduce the notion of casting inference problems in terms of features and labels. We will discuss supervised classification and regression techniques as well as altogether unsupervised learning schemes. We will have a look at reinforcement learning, model optimization and evaluation and close with a discussion of model generality and the curse of dimensionality.

    About the Speaker

    Dr. Eickhoff is an Assistant Professor of Medical and Computer Science at Brown University where he leads the Biomedical AI Lab, specializing in the development of data science and information retrieval techniques with the goal of improving patient safety, individual health and quality of medical care. Prior to joining Brown, he graduated from The University of Edinburgh and TU Delft, and was a postdoctoral fellow at ETH Zurich and Harvard University. Carsten has published more than 100 articles in computer science conferences (SIGIR, EMNLP, NAACL, WWW, KDD, WSDM, CIKM) and clinical journals (Nature Digital Medicine, The Lancet - Respiratory Medicine, Radiology, European Heart Journal). His research has been supported by the NSF, NIH, DARPA, IARPA, Google, Amazon, Microsoft and others. Aside from his academic endeavors, he is a founder and board member of several deep technology startups in the health sector that strive to translate technological innovation to improved safety and quality of life for patients. 

    Register Now More Information Biology, Medicine, Public Health, Research, Training, Professional Development
  • Please join the Center for Addiction & Disease Risk Exacerbation (CADRE) at Brown University for our Distinguished Visiting Scholar Series. Dr. Fulton Crews’ presentation is entitled “Neuroimmune Signaling: Adolescence and Alcohol.”

    Dr. Crews is the Director of the Bowles Center for Alcohol Studies and Distinguished Professor of Pharmacology and Psychiatry in the UNC School of Medicine.

    This is a hybrid event that is being held in-person (School of Public Health, Room 245) and virtually. The Zoom link will be sent to registered participants.

    Event Zoom More Information 
  • Oct
    1
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Title:  Reverse engineering neural control of behavior in Hydra

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • Sep
    30
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Dr. Alessandra Sciutti, Italian Institute of Technology (IIT)

    Title: Establishing shared perception with a robot

    Abstract: For robots to become an effective component of our society, it is necessary that these agents become primarily cognitive systems, endowed with a cognitive architecture that enables them to adapt, predict, and pro-actively interact with the environment and communicate with the human partners. Human communication depends on mutual understanding: I know how to communicate because I entertain a model of you, which enables me to select an effective way to convey to you what I want and to have an intuition of your internal states – what you need, fear or desire. Such intuition enables me to perceive properties that would be otherwise not accessible to my perception, as goals, emotions or effort. Our contribution to the roadmap toward cognitive systems leverages on the use of a humanoid robot (iCub) to test some of our assumptions on how to build a cognitive interactive agent. We attempt at modeling the minimal skills necessary for cognitive development, focusing on the visual features that enable to recognize the presence of other agents in the scene, to allow action matching across different visual perspectives and to foster automatic speed adaptation in human-robot interactive repetitive tasks. In a dual approach, we are trying to understand how to modulate robot behavior to elicit better human understanding and to express different characteristics of the interaction: from the mood to the level of commitment. This approach is propaedeutic to the creation of a cognitive system, by helping in the definition of what is relevant to attend to, starting from signals originating from the intrinsic characteristics of the human body. We believe that only a structured effort toward cognition will in the future allow for more humane machines, able to see the world and people as we do and engage with them in a meaningful manner.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Sep
    29
    Virtual
    12:00pm - 1:00pm

    Joint Seminar Series on Clinical Trials

    The Joint Seminar Series on Clinical Trials in Aging is co-hosted by the Interventional Studies in Aging Center (ISAC) in the Hinda and Arthur Marcus Institute for Aging Research at Hebrew SeniorLIfe and the Brown University Center for Long-Term Care Quality & Innovation (Q&I). Lectures focus on issues in the design and execution of clinical trials, including trials currently in the field.

    Our guest speaker for September 29 is Kendra Plourde, PhD, Yale University School of Medicine.  Dr. Plourde’s presentation is entitled, “Sample Size Calculation for Stepped Wedge Cluster Randomized Trials with Subclusters.”

    The stepped wedge cluster randomized trial (SW-CRT) is an increasingly popular design for evaluating health service delivery or policy interventions. Especially when embedded in healthcare delivery systems, many SW-CRTs may have
    subclusters nested in clusters, within which outcomes are collected longitudinally. Dr. Plourde will present sample size calculations for multilevel SW-CRTs that differentiate within-and between-period correlations at each level of clustering.

    All are welcome!

    More Information ALZ, Biology, Medicine, Public Health
  • Join Zoom Meeting
    https://brown.zoom.us/j/98895345116

    Meeting ID: 988 9534 5116
    Passcode: 192754

    More Information 
  • Sep
    27
    Virtual and In Person
    3:00pm - 5:00pm

    CLPS PhD Defense: Babak Hemmatian Borujeni

    Speaker: Babak Hemmatian Borujeni , Brown University

    Title: Taking the High Road: A Big Data Investigation of Natural Discourse in the Emerging U.S. Consensus about Marijuana Legalization

    Abstract: U.S. support for marijuana legalization grew from 38% to 65% in 2008-2019. To find the discourse features that preceded and followed the shift, I curated a comprehensive corpus of Reddit comments from the same period. Neural networks trained on human annotations of attitude and persuasion attempts separated strategic use of narratives from non-argumentative discourse. Two narrative frames considered important to persuasion in past research were studied: anecdotal vs. generalized content. I operationalized anecdotal frames based on three linguistic clause-level features: Whether the clause is about a generic kind, if it represents a reliable state or an event, and whether any events are bounded in time. A corpus of Reddit and news was annotated for these features and more, neural networks based on which estimated anecdotal properties in the broader Reddit dataset. Anecdotal themes were less prevalent but present in most comments, particularly in arguments favoring legalization. Nationally, a surge in anecdotes within non-argumentative discourse happened over time as a consequence of attitude shifts. Generalized discourse was a potential cause with major surges around the 2012 and 2016 legal milestones. Attempts to associate generalized discourse with legal changes were complicated by marijuana’s varied status across the U.S. I therefore inferred user locations and compared the rate of anecdotal themes before and after legalization in comments from pioneering states. More generalized frames set the stage for each successful legalization bid. The particular content, however, varied between the two milestones. Character judgments were prominent in 2012, while crimes and politics took center-stage in 2016. The generalized precedents of legalization in the two periods shared argumentative and moralistic focus but had distinctive clause-level profiles. Meanwhile, legal and medical arguments were sidelined, meaning the novel consensus was not informed by much of the relevant information. Together, my findings present generalized argument framing as a harbinger of attitude shift toward hot-button topics, and anecdotal non-argumentative framing as a consequence of it. The machine learning pipeline that made this insight possible is novel for social media research but general-purpose, allowing similar abstract narrative frames to be broken down into theory-driven constituents, and studied in quantitative detail.


    Advisor: Steven Sloman

    ~ All Are Invited ~

    If you are not a part of the CLPS Department and would like to attend virtually, please contact [email protected] , at least 24 hours ahead of time.

    More Information Psychology & Cognitive Sciences
  • Sep
    27
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Lisa Fazio - Associate Professor- Vanderbilt

    Title: Understanding the Effects of Repetition on Belief

    Abstract: Repetition increases belief in false statements. This illusory truth effect occurs with many different types of statements (e.g., trivia facts, news headlines, advertisements), and even occurs when the false statement contradicts participants’ prior knowledge. I will present a series of studies demonstrating that the effects of repetition are widespread – occurring for even very implausible statements, occurring in naturalistic settings, and occurring across development. However, the effects are not inevitable, I will also discuss situations where the repetition has only a minimal effect on belief.

    More Information Psychology & Cognitive Sciences
  • Sep
    24
    Join Virtual EventInstructions: Meeting ID: 567 679 7348
    Passcode: Pediatrics

    Protecting the Preterm Brain

    Simerdeep Dhillon, Ph.D.

    Research Fellow

    Fetal Physiology and Neuroscience Lab

    Department of Physiology

    The University of Auckland, New Zealand

     

     

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • What can academic scientists learn from the trading world to become more comfortable with taking measured risks in research?

    Join the Carney Institute for Brain Science for a lively discussion about finding the right balance between risk-taking, failure and success, featuring two members of the President’s Advisory Council for the Carney Institute who are leading innovators in the trading and investing world.

    • Nancy Zimmerman, a 1985 Brown graduate, a trustee of the University’s Corporation and the co-founder and managing partner of Bracebridge Capital, a leading Boston-based hedge fund manager with over $12 billion under management
    • Adam Korn, a 1997 Brown graduate and chief information officer at the $47 billion investment firm Sixth Street Partners

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    Get to Know the Speakers

    Nancy Zimmerman is co-founder and managing partner of Bracebridge Capital, a leading Boston-based hedge fund manager with over $12 billion under management. Bracebridge is a pioneer in the field of absolute return investing and for over 25 years has focused on generating returns that are largely uncorrelated with broad moves in equities, currencies and rates. Bracebridge manages private investment funds serving longstanding investors that include endowments, foundations, family offices and pensions. Zimmerman began her career at O’Connor & Associates and managed the interest rate option group on a worldwide basis for Goldman Sachs before founding Bracebridge. She earned an A.B. in Economics and the Practice and Production of Art from Brown University in 1985. Zimmerman is a Trustee of the Corporation of Brown University and the inaugural chair of the President’s Advisory Council for Brown’s Carney Institute for Brain Science. At other institutions — including the Transformative Scholars Program in Neurology at Massachusetts General Hospital and the Ragon Institute of MGH, MIT and Harvard — Zimmerman has led a series of initiatives that fund early-career investigators. During 2020, she helped fund and promote cutting-edge research on COVID-19. She is a member of the Board of Directors of Social Finance U.S., a nonprofit that tackles complex social challenges through innovative public private partnerships.

    Adam Korn is chief information officer at the $47 billion investment firm Sixth Street Partners. Previously, Korn was the global head of Securities Division Engineering at Goldman Sachs, focusing on Systematic Market Making and Marquee, the firm’s client-facing digital platform for institutional clients. He served as a member of the Securities Division Automated Trading Controls Committee, Partnership Committee and Firmwide Technology Risk Committee. Korn joined Goldman Sachs in 2002 as an associate in the Equity Derivatives Research Group, focusing on market microstructure research. In 2007, he led the team that won the Michael P. Mortara Award for Innovation. Korn was named managing director in 2008 and partner in 2010. Prior to joining the firm, Korn was the co-founder and chief financial officer of a software startup. He began his career in 1997 at Credit Suisse First Boston in Investment Banking. Adam serves as vice chairman of the Board of Trustees of the Bobby Jones Chiari & Syringomyelia Foundation and as a member of Brown’s Carney Institute for Brain Science Advisory Council.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Sep
    23
    1:00pm - 2:00pm

    Biology of Aging Seminar

    The Brown Biology of Aging Seminar Series kicks off this semester on September 23rd with Dr. Christopher Wiley from Tufts University. We will be hosting a HYBRID meeting, where you may come to Biomed 202 to watch Dr. Wiley’s presentation in person or attend via Zoom. 

    Zoom Meeting ID: 934 0703 8967

    Please contact [email protected] for questions. Hope to see you all there!

    Christopher Wiley Seminar

    HYBRID Zoom/In-Person - Zoom ID and Link Here: 934 0703 8967 More Information 
  • Sep
    23
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Dr. Shihab Shamma, University of Maryland

    Title: Learning Speech and Music Production and Perception through Sensorimotor Interactions

    Abstract: Action and perception are closely linked in many behaviors necessitating a close coordination between sensory and motor neural processes so as to achieve a well-integrated smoothly evolving task performance. In the auditory modality, two such tasks are speaking and playing a musical instrument. I will review here two key experimental findings on the nature and function of the sensorimotor interactions during performance of these tasks. The first is that the interactions have an elaborate spectrotemporally modulated character, projecting in both “forward” (motor-to-sensory) and “inverse” directions between the higher-auditory and motor cortical regions. The second finding is the remarkable function of the forward projections in learning the inverse mapping of sensory signals to motor commands, a function that is beyond their commonly postulated predictive role in the control of task execution. Mathematical simulations of this process illustrate how these ubiquitous two-directional “mirror” projections facilitate unsupervised learning of skilled sensorimotor tasks or of the control of speech and music synthesizers.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Please contact [email protected] for passcode to seminar

    Title:  Functional network impairment across different stages of Alzheimer´s Disease: a neurophysiological point of view

    More Information ALZ, Biology, Medicine, Public Health, Research
  • Join Virtual EventInstructions: Meeting ID: 960 7467 8055
    Passcode: 142488

    “The Future is Noninvasive: Developing focused ultrasound and auricular neuromodulation as alternatives to implantable brain stimulation”

    Bashar W. Badran, Ph.D.
    Assistant Professor, Neuro-X-Lab
    Associate Editor, Augmented & Synthetic Neuroergonomics
    Medical University Of South Carolina



    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • We are very excited to welcome Dr. Girardin Jean-Louis, Professor of Psychiatry & Behavioral Sciences at the University of Miami. Dr. Jean-Louis’ presentation is entitled: “Improving Sleep and Circadian Health in Minoritized Communities via Stakeholder Engagement”.

    Abstract: This presentation will describe briefly my journey in sleep and circadian research, addressing the overwhelming burden of cardiovascular and brain health that individuals in minoritized communities endorse. It will also address the importance of utilizing stakeholder-engaged principles to implement solution-specific interventions to improve sleep and circadian health at the individual and population levels. Lastly, it will address the urgent need to train and mentor ESI to develop successful careers in sleep and circadian sciences.

    We hope you’ll be able to join!

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Sep
    20
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Jessica Cantlon - Associate Professor - Carnegie Mellon University

    Title: Developmental, Evolutionary, and Cultural Universals of Mathematical Thought

    Abstract: Primates have been using quantitative logic for millions of years. Humans share many cognitive systems with other primates, but they are unique in their capacity for symbolic counting and logic. These uniquely human constructs interact with primitive systems of numerical reasoning. In this talk, I discuss how evolution shapes human numerical concepts through constraints on human perception and cognition, neural homologies among primates, and interactions between uniquely human concepts and primitive processes.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Sep
    20

    Dr. Amanda Meija, Assistant Professor, Department of Statistics, Indiana University

    Using empirical population priors to provide accurate subject-level insights into functional brain organization through template ICA

    Abstract: A primary objective in resting-state fMRI studies is localization of functional areas (i.e. resting-state networks) and the functional connectivity (FC) between them. These spatial and temporal properties of brain organization may be related to disease progression, development, and aging, making them of high scientific and clinical interest. Independent component analysis (ICA) is a popular tool to estimate functional areas and their FC. However, due to typically low signal-to-noise ratio and short scan duration of fMRI data, subject-level ICA results tend to be highly noisy and unreliable. Thus, group-level functional areas are often used in lieu of subject-specific ones, ignoring inter-subject variability in functional topology. These group-average maps also form the basis for estimating FC, leading to potential bias in FC estimates given the topological differences in underlying functional areas. An alternative to these two extremes (noisy subject-level ICA and one-size-fits-all group ICA) is Bayesian hierarchical ICA, wherein information shared across subjects is leveraged to improve subject-level estimation of spatial maps and FC. However, fitting traditional hierarchical ICA models across many subjects is computationally intensive. Template ICA is a computationally convenient hierarchical ICA framework using empirical population priors derived from large fMRI databases or holdout data. Template ICA produces more accurate and reliable estimates of subject-level functional areas compared with popular ad-hoc approaches. The flexible Bayesian framework also facilitates incorporating other sources of a-priori information. In this talk, I will describe the template ICA framework, as well as two extensions to the baseline model: the first incorporates spatial priors to leverage information shared across neighboring brain locations, and the second incorporates empirical population priors on the FC between functional areas. I will also present recent findings from a study of the effects of psilocybin (the prodrug compound found in “magic mushrooms”) on the organization of the thalamus.
    Bio: Mandy Mejia is an assistant professor in the Department of Statistics at Indiana University. Her research aims to develop statistical techniques to extract accurate individual insights from functional MRI data, which is noisy, big and complex. Her group pursues this goal in three primary ways: (1) developing computationally efficient Bayesian techniques, which leverage information shared across space and across individuals to produce more accurate estimates at the individual level; (2) developing statistically principled noise-reduction techniques, and (3) analyzing data on the cortical surface and subcortical gray matter to facilitate spatial modeling and improve inter-subject alignment. Her group has developed several software tools to facilitate cortical surface and Bayesian analysis of fMRI data in R.
    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Mathematics, Technology, Engineering, Research, Training, Professional Development
  • Sep
    17
    Virtual and In Person
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speakers: First-year students in the cognition & social areas, CLPS
    Krishn Bera: Skill Learning in Internally-guided Sequencing
    Victoria Halewicz:TBD
    Ladan Mohamed: TBD
    Almos Molnar: TBD
    Alice Xia: Integrating Social Information
    Ziqi Zhao: Using EEG to study short term memory

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Sep
    17
    Join Virtual EventInstructions: Meeting ID: 567 679 7348
    Passcode: Pediatrics

    “Inter-alpha Inhibitor Proteins:

    Neuroprotection after Hypoxic Ischemic Brain Injury”

    Barbara S. Stonestreet, M.D.

    Professor of Pediatrics

    Warren Alpert Medical School of Brown University

    Staff Neonatologist

    Women & Infants Hospital Rhode Island

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Sep
    17
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Join Virtual EventInstructions: Please contact [email protected] for Passcode

    Title: Neuron-glia circuits for behavioral flexibility in zebrafish

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Sep
    16
    Virtual and In Person
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speakers: First year perception and action students, CLPS


    Alekh Karkada Ashok - Stable and expressive recurrent vision models
    Yifei “Jerry” Hu - Peripersonal space is a spatiotemporal window rather than a fixed space
    Kyra Veprek - The Effects of Mirror Symmetry Detection on Visual Comparison Tasks
    Chaeeun Lim - How cognitive control mechanisms protect us from distracting information
    Jessica Ip - Correlation perception in scatterplots is invariant to dot size
    Location: Dome Room - Metcalf 305 or by zoom

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • BigAI Talk: “Safe and Fair Machine Learning: A Seldonian Approach”

    Abstract:
    Machine learning algorithms are everywhere, ranging from simple data analysis and pattern recognition tools used across the sciences to complex systems that achieve superhuman performance on various tasks. Ensuring that they are safe—that they do not, for example, cause harm to humans or act in a racist or sexist way—is therefore not a hypothetical problem to be dealt with in the future, but a pressing one that we can and should address now.

    In this talk I will discuss some of my recent efforts to develop safe machine learning algorithms, and particularly safe reinforcement learning algorithms, which can be responsibly applied to high-risk applications. I will focus on the article “Preventing undesirable behavior of intelligent machines” recently published in Science, describing its contributions, our subsequent extensions, and important areas of future work.

    Bio:
    Philip Thomas is an assistant professor at UMass. He received his PhD from UMass in 2015 under the supervision of Andy Barto, after which he worked as a postdoctoral research fellow at CMU for two years under the supervision of Emma Brunskill before returning to UMass. His research focuses on creating machine learning algorithms, particularly reinforcement learning algorithms, which provide high-probability guarantees of safety and fairness. He emphasizes that these algorithms are often applied by people who are experts in their own fields, but who may not be experts in machine learning and statistics, and so the algorithms must be easy to apply responsibly. Notable accomplishments include publication of a paper on this topic in Science titled “Preventing Undesirable Behavior of Intelligent Machines” and testifying on this topic to the U.S. House of Representatives Taskforce on Artificial Intelligence at a hearing titled “Equitable Algorithms: Examining Ways to Reduce AI Bias in Financial Services.”

    Host: George Konidaris
    More Information 
  • Sep
    15
    Virtual
    12:00pm - 1:30pm

    LingLangLunch Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Rowena Garcia, Max Planck Institute for Psycholinguistics, Nijmegen


    Title: Children’s acquisition of a symmetrical voice language: Evidence from Tagalog

    Abstract: “Most of our knowledge on children’s language acquisition comes from studies of only 1.5% of the world’s languages (Kidd & Garcia, 2021). As this reliance on a small, unrepresentative sample of languages skews theoretical development, conducting research on understudied languages is an important priority. In this talk, I will focus on the acquisition of Tagalog’s symmetrical voice system, a typologically rare feature where there is more than one basic transitive construction (i.e., equally marked by voice morphology, without any demotion of an argument), providing an important testing ground for accounts of verb argument structure acquisition. I will discuss the results of our corpus analyses, eye-tracking and production experiments.”

    More Information Psychology & Cognitive Sciences
  • Sep
    14
    4:00pm - 5:00pm

    Biology of Aging PAARF

    We will be having our first PAARF meeting this semester on September 14th @ 4pm EST. We will be doing a hybrid meeting, where you can attend in person at LMM 107 (70 Ship St.) or you can tune in via Zoom if you are unable to attend. If you are subscribed to the BoA listserv, you will receive the Zoom details shortly after this email.

    Zoom Meeting ID: 918 3421 4655

    Please direct any questions to [email protected]. Thank you and looking forward to seeing you all!
    SeptPaarf2021
    HYBRID Zoom/In-Person - Zoom ID and Link Here: 918 3421 4655 More Information Academic Calendar, University Dates & Events, Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Research
  • Sep
    13
    Virtual
    12:00pm - 1:30pm

    CANCELED: Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.
    Data Blitz! This is a welcome back meeting with a blitz. Individuals from CLPS will talk briefly about who they are and what they’re interested in.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Sep
    10
    Join Virtual EventInstructions: Meeting ID 567 679 7348
    Passcode: Pediatrics

    “Therapeutic Hypothermia and Future Strategies - When Two Treatments Become One”

    Guido Wassink, Ph.D.

    Senior Research Fellow

    Fetal Physiology and Neuroscience Lab
    Department of Physiology

    The University of Auckland, New Zealand

     

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • As part of the 2021 MMI Fall Seminar Series, Caroline Sokol, M.D., Ph.D., Assistant Professor at Harvard Medical School and Assistant Physician in the Medicine-Allergy & Immunology department at Massachusetts General Hospital, will be giving a lecture titled “Scratching that itch: Neuroimmune control of allergic immunity. Hosted by Amanda Jamieson, Ph.D., this lecture will meet in Marcuvitz Auditorium in Room 220 in Sidney Frank Life Sciences Building, 185 Meeting Street. Refreshments will be served at 11:45am.

    More Information Biology, Medicine, Public Health
  • Sep
    8
    Virtual
    11:00am - 12:00pm

    Child & Adolescent Psychiatry

    Adolescent Substance Use and Treatment: Translating Science into Clinical Practice
    Robert Miranda Jr., Ph.D.
    Professor of Psychiatry and Human Behavior
    Warren Alpert Medical School of Brown University
    Professor of Behavioral and Social Sciences
    School of Public Health, Brown University
    Clinical Director, Adolescent Co-occurring Disorders Program (Vista), Bradley Hospital

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences
  • Sep
    3
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

    More Information Research
  • Sep
    3

    MCBGP Annual Retreat
    September 3, 2021

    9:00 - 11:00 a.m. Welcoming Remarks and Virtual Poster Session

    12:30 - 3:30 p.m. Research Talks, Salomon Center Room and Zoom

    3:30 - 6:00 p.m. Social Gathering, Pembroke Field

    More Information 
  • Sep
    1
    Virtual
    11:00am - 12:30pm

    September DPHB Academic Grand Rounds

    Racism in Academic Psychiatry: Hiding Beneath the Cloak of Our Benevolence
    Tracey M. Guthrie, M.D.
    Associate Professor, Clinician Educator
    Assistant Dean for Diversity in the Division of Biology and Medicine
    Program Director, Adult Psychiatry Residency Training Program
    Department of Psychiatry and Human Behavior
    Warren Alpert Medical School of Brown University

    More Information Biology, Medicine, Public Health, Education, Teaching, Instruction, Graduate School, Postgraduate Education, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research
  • Aug
    27
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Aug
    25

    Poster for Elaina Atherton's thesis defense. 

    More Information Biology, Medicine, Public Health, Research
  • Aug
    17
    Virtual
    1:00pm - 2:00pm

    Ph.D. Thesis Defense: Nicole Provenza

    Join Virtual EventInstructions: Meeting ID: 930 1071 4268
    Passcode: 664388

    “Toward adaptive deep brain stimulation for psychiatric disorders”

    Nicole Provenza, Ph.D. Candidate in the School of Engineering

    Advisor: David Borton

    Abstract: In my dissertation, I present solutions, best practices, and lessons learned for tailoring implantable neural devices to a psychiatric population toward enabling neural biomarker identification of mental states related to OCD and aDBS. My work consists of five chapters. Chapter 1 outlines our motivation and strategy for developing aDBS for OCD (Provenza et al., 2019). Chapter 2 details our solution for deploying behavioral tasks both in the clinic during electrophysiological recordings, and at home, termed “Honeycomb” (Provenza et al., 2021). Chapter 3 presents a novel method for DBS artifact suppression, which is essential for uncovering biomarkers during therapeutic neuromodulation (Dastin-van Rijn and Provenza et al., 2021). Chapter 4 outlines methods and results for using cortical and subcortical connectivity estimates to predict task engagement in epilepsy patients that underwent temporary intracortical monitoring (Provenza et al, 2019). Lastly, in Chapter 5, I present chronic local field potential recordings from the ventral striatum in human participants with obsessive-compulsive disorder synchronized with relevant, disease-specific behavior both in the clinic and at home (Provenza et al., 2021, under review).

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • MCB Graduate Student Ph.D. Thesis Defense

    Kaylee Mathews

    Investigating the Effects of Neurodegenerative Disease-Associated

    Mutations on the Homo- and Heterotypic Interactions of Assembly-Prone Proteins

     

    Advisor: Nicolas Fawzi, Ph.D. 

    Tuesday, August 17th, 2021

    10:00 AM

    Via Zoom

    More Information 
  • Aug
    16
    Virtual
    3:00pm - 4:00pm

    Workshop - Getting Started on Oscar

    An introduction to Oscar, Brown’s research computing cluster, for new users. Participants will learn how to connect to Oscar (ssh, VNC), how to navigate Oscar’s filesystem, and how to use the module system to access software packages on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register More Information Research
  • Aug
    13
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • MCB Graduate Student Ph.D. Thesis Defense

    Abigail Brown

    Deciphering FOXOs Role in Promoting Longevity through

    Transcriptional and Epigenetic Regulations

     

    Advisor: Ashley Webb, Ph.D.

    Thursday, August 12th, 2021

    1:00 PM

     

    Via Zoom

    More Information 
  • The Department of Behavioral and Social Sciences is pleased to announce the dissertation defense of Teresa DeAtley on August 10, 2021 at 1:00 p.m. EST.

    “Mechanisms Underlying High Rates of Tobacco-Related Disease in People with Psychiatric Disorders Who Smoke”

    Since the landmark Surgeon General report in 1964, smoking rates among U.S. adults have fallen by more than 50%. Despite this achievement, there has been little change in smoking among people with psychiatric conditions. Current scientific evidence characterizes the grim tobacco-related health disparities among people with psychiatric conditions who smoke. This dissertation research aligns with timely tobacco regulatory science approaches under consideration by the Food and Drug Administration in order to investigate some of the current gaps in knowledge concerning the underlying mechanisms that drive tobacco use among people with psychiatric disorders who smoke. The studies presented include a longitudinal mediation analysis using nationally representative Population Assessment of Tobacco and Health (PATH) data (Chapter 1), a behavioral economic analysis to investigate how reduced nicotine cigarettes affect demand among people with serious mental illness who smoke (Chapter 2), and an interpretive phenomenological analysis of subjective experiences, context and risk perceptions of low nicotine content cigarettes and electronic cigarettes among people with affective disorders who smoke (Chapter 3).

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing and otherwise displaying the recording, within its sole discretion.

    More Information 
  • Aug
    6
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Aug
    2

    This workshop will cover basic performance optimization techniques using MATLAB, including: code profiling, pre-allocation, sequential memory access, vectorization, and efficient matrix-vector storage and operations. We will assume that participants have a basic understanding of the MATLAB programming language.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register More Information Research
  • Please mark your calendars for the third Dr. Samuel M. Nabrit Conference for Early Career Scholars, August 2-3, 2021!

    The conference will be hosted online by the Molecular Biology, Cell Biology and Biochemistry Department at Brown University, and will convene online via Zoom, from 1:00 - 5:00 pm EDT August 2 and 3. The conference is free, but registration is required.

    The purpose of this conference is to showcase the research achievements of outstanding molecular life scientists from historically underrepresented groups. Featuring short talks for invited attendees, the conference will also include roundtable discussions on career paths and developing leadership skills. Speakers will be selected from applicants who are senior graduate students, postdoctoral researchers, and beginning faculty members or industry scientists.

    The application deadline for oral presentations will be July 19.For additional information, please visit the conference website.  Please feel free to contact [email protected] if you have questions about the conference.

    More Information 
  • Jul
    30
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • What does the next generation of scientists think of the future of brain science research? 

    Brown University graduate students and a recent alum will join the Carney Institute on July 27 for an engaging conversation about their research experiences and where they think the field is headed. This event will feature:

    • Kaitlyn Hajdarovic, Ph.D. candidate in the Neuroscience Graduate Program
    • Marc Powell, postdoctoral associate at the University of Pittsburgh Department of Neurological Surgery. Powell received a Ph.D. in biomedical engineering from Brown in January 2021.
    • Jae-Young Son, Ph.D. student in cognitive, linguistic and psychological sciences

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    Watch previous Carney Conversations More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, CCBS, Graduate School, Postgraduate Education, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: Please email [email protected] for passcode.

    Title:  “Genetic modifiers of ALS-associated defects in a C. elegans sod-1 model”

    Advisor:  Anne Hart, PhD

    More Information Biology, Medicine, Public Health, Research
  • Jul
    26
    Virtual
    3:00pm - 4:00pm

    Workshop - Using MATLAB on Oscar

    An introduction to using Matlab on Oscar. Topics covered include: working with Matlab interactively on Oscar, using the Matlab GUI, and using Matlab in batch jobs.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register More Information Research
  • Jul
    23
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • The Brown Postdoc Council Presents Career Conversations Series on July 22nd, 2021 featuring Melissa Silvestrini, Ph.D.

    Please RSVP for Zoom link

    RSVP More Information 
  • Jul
    19
    Virtual
    3:00pm - 4:00pm

    Workshop - Basic Bash

    This workshop will cover basic shell scripting in Bash: variables, loops, pipes and more so participants can learn to automate work with Bash. We will assume participants have some familiarity with the linux command line.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register More Information Research
  • Jul
    16
    Virtual
    12:00pm - 2:00pm

    CLPS PhD Defense: Lauren Franklin

    Speaker: Lauren Franklin , Brown University

    Title: Accent Perception and Adaptation During Lexical Access

    Advisor: James L. Morgan

    ~ link information to the meeting sent to clps all ~

    If you are not a part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator.

    More Information Psychology & Cognitive Sciences
  • Jul
    16
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Carney Methods Meetups are informal gatherings focused on methods for brain science, moderated by Jason Ritt, Carney’s scientific director of quantitative neuroscience. Sheridan Center writing associates Shanelle Reilly, MCB Ph.D. candidate, and Meghan Gonsalves, NSGP Ph.D. candidate, will join Ritt in an open discussion of writing and communication strategies, data visualization, and other aspects of preparing scientific manuscripts.

    Graduate students and postdocs are encouraged to send in advance any questions or “case studies” related to their own research to Jason Ritt.

    Notes from previous Meetups are available online.

    Please note, this workshop requires you to be logged into Zoom through your Brown account.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research, Teaching & Learning
  • Jul
    15
    Virtual
    10:00am - 11:30am

    COBRE CBC Walk-in Office hours

    The Computational Biology Core is inviting you to a scheduled Zoom meeting.

    Join Zoom Meeting
    <a href=”https://brown.zoom.us/j/95250171953”>https://brown.zoom.us/j/95250171953</a>

    Meeting ID: 952 5017 1953
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    <a href=”mailto:[email protected]”>[email protected]</a>

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    Meeting ID: 952 5017 1953

    More Information 
  • Jul
    9
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Rough path theory emerged as a branch of stochastic analysis to give an improved approach to dealing with the interactions of complex random systems. In that context, it continues to resolve important questions, but its broader theoretical footprint has been substantial. Most notable is its contribution to Hairer’s Fields-Medal-winning work on regularity structures. At the core of rough path theory is the so-called signature transform which, while being simple to define, has rich mathematical properties bringing in aspects of analysis, geometry, and algebra. Hambly and Lyons (Annals of Math, 2010) built upon earlier work of Chen, showing how the signature represents the path uniquely up to generalized reparameterizations. This turns out to have practical implications allowing one to summarise the space of functions on unparameterized paths and data streams in a very economical way.

    Over the past five years, a significant strand of applied work has been undertaken to exploit the mathematical richness of this object in diverse data science challenges from healthcare, to computer vision to gesture recognition. The log signature is becoming a powerful way to summarise the fine structure of a data stream in a neural net. The emergence of neural differential equations as an important tool in data science further deepens the connections with rough paths.

    This four-day workshop will bring together key expertise across disciplines to advance understanding on some of the most pressing and exciting challenges. The week will begin with five structured, tutorial-style lectures on the foundational aspects of signatures their use in data science and topics of broad appeal such as Neural Rough Differential Equations. During the rest of the week, the morning activities will be broadly based with the afternoons focusing on more technical talks with additional opportunities for small group/breakout sessions

    More Information Mathematics, Technology, Engineering
  • Jul
    2
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Join Virtual EventInstructions: 

    Meeting ID: 988 2041 1230
    Passcode: CCBS

    Join Carney’s Center for Computational Brain Science (CCBS) on June 29 for a seminar featuring Arvind Kumar, Ph.D., associate professor in the Division of Computational Science and Technology at the KTH Royal Institute of Technology in Stockholm, Sweden.

    Dr. Kumar is a computational neuroscientist studying the dynamics of information processing properties of neuronal networks. In this talk, he will explore the relationship between Network connectivity and network activity, and will extend this analysis to the spatiotemporal dynamics of neuromodulators.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • The next Carney Institute External Postdoc Seminar Series (BrainExPo) will feature Ashley Ingiosi, Ph.D., Ruth L. Kirschstein Postdoctoral Fellow at Washington State University.

    Abstract

    Sleep is characterized by dynamic changes in neuronal activity, and waking neuronal activity is thought to increase sleep need. Changes in non-neuronal cells (e.g. glia) across the sleep-wake cycle and their role in sleep regulation are comparatively unexplored. I investigated if glial cells called astrocytes also change dynamically across sleep and wake states and if astroglial signaling mechanisms are important for sleep regulation. Astrocytes are not electrically excitable but use calcium (Ca2+) to mediate signaling. Therefore, Ca2+ imaging is optimal for studying astroglial activity. I quantified astroglial Ca2+ activity during sleep-wake behavior in mice expressing the Ca2+ indicator GCaMP6f selectively in cortical astrocytes. Ca2+ activity was captured in vivo with an epifluorescent miniscope in freely-behaving mice and with two-photon microscopy in unanesthetized, head-restrained mice for more detailed exploration of astroglial processes. I recorded astroglial Ca2+ dynamics simultaneously with sleep-wake behavior under baseline conditions, in response to sleep deprivation, and following genetic depletion of astroglial intracellular Ca2+ stores. I found that 1) astroglial Ca2+ signals change dynamically with sleep, wake, and sleep loss, 2) astroglial Ca2+ activity is more pronounced in processes compared to somata, 3) astroglial Ca2+ is responsive to changes in sleep need, 4) synchrony of astroglial Ca2+ signals changes with vigilance state and sleep loss but does not mirror neuronal electrical activity, and 5) reduced astroglial Ca2+ via knockout of stromal interaction molecule 1 reduces sleep drive after sleep loss. Overall, this research revealed a new level of brain organization in a non-neuronal cell type that changes dynamically with vigilance state and plays a role in sleep regulation. These findings could trigger a fundamental shift in our understanding of sleep and sleep regulation.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jun
    28

    This workshop is for people who are already familiar with Slurm, but would like to use Slurm’s more powerful features. Topics covered include: dependencies for conditional execution of jobs, job arrays for parameter sweeps, dealing with hundreds or thousands of small tasks, how to limit the number of jobs running at once, and how to cancel multiple jobs.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Research
  • Join Virtual EventInstructions: Please contact [email protected] for more information.

    Advisor: Dr. Carl Lupica

    Title: Mechanisms of Monoaminergic Control of Orbitofrontal Cortex Function and Disruption by Cocaine Experience”

    More Information Biology, Medicine, Public Health, Research
  • Jun
    25
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Jun
    22
    Join Virtual EventInstructions: Please contact [email protected] for more information.

    Advisor:  Dr. Kristi Wharton

    Title:  Examination of the molecular underpinnings of locomotor decline in a novel Drosophila CRISPR ALS model: insights into signaling pathway modulation

    More Information Biology, Medicine, Public Health, Research
  • Jun
    21
    Virtual
    3:00pm - 4:00pm

    Workshop - Advanced Slurm

    This workshop is for people who are already familiar with Slurm, but would like to use Slurm’s more powerful features. Topics covered include: dependencies for conditional execution of jobs, job arrays for parameter sweeps, dealing with hundreds or thousands of small tasks, how to limit the number of jobs running at once, and how to cancel multiple jobs.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Research
  • Jun
    18
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Join Virtual EventInstructions: Passcode: 202156

    “Neuroethics-Informed Neurotechnology Development: Emerging Principles, Priorities and Opportunities”

    Michael Young, M.D., M.Phil.

    Clinical Fellow in Neurorecovery
    Massachusetts General Hospital & Spaulding Rehabilitation Hospital
    MGH Neurology, Center for Neurotechnology and Neurorecovery

    Visiting Fellow, Safra Center for Ethics, Harvard University

    VA RR&D Center for Neurorestoration



    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: 

    Meeting ID: 916 0100 5045
    Passcode: 830598

    Join the Moore Lab for a talk featuring Alexandra T. Keinath, Ph.D., postdoctoral researcher with the Brandon Lab at the Douglas Research Institute /McGill.

    Abstract

    Extensive research has revealed that the hippocampus and entorhinal cortex maintain a rich representation of space through the coordinated activity of place cells, grid cells, and other spatial cell types. Frequently described as a ‘cognitive map’ or a ‘hippocampal map’, these maps are thought to support episodic memory through their instantiation and retrieval. Though often a useful and intuitive metaphor, a map typically evokes a static representation of the external world. However, the world itself, and our experience of it, are intrinsically dynamic. Thus in order to make the most of their maps, a navigator must be able to adapt to, incorporate, and overcome these dynamics. Here I describe three projects where we address how hippocampal and entorhinal representations do just that. In the first project, I describe how boundaries dynamically anchor entorhinal grid cells and human spatial memory alike when the shape of a familiar environment is changed. In the second project, I describe how the hippocampus maintains a representation of the recent past even in the absence of disambiguating sensory and explicit task demands, a representation which causally depends on intrinsic hippocampal circuitry. In the third project, I describe how the hippocampus preserves a stable representation of context despite ongoing representational changes across a timescale of weeks. Together, these projects highlight the dynamic and adaptive nature of our hippocampal and entorhinal representations, and set the stage for future work building on these techniques and paradigms.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jun
    15

    This K99/R00 grant writing workshop is jointly organized by the Brown Postdoc Council and the Office of University Postdoctoral Affairs (OUPA). This workshop is intended for all postdocs at Brown who are interested in learning about grantsmanship and in particular applying for the K99 grant.

    Session 1: Preparing a competitive application
    Audra Van Wart (OUPA)

    Session 2: Tips and tricks from funded Brown applicants
    Javier Lopez-Sato (Neuroscience)
    Leila Rieder (Emory University)

    Session 3: The grant review process with K99 reviewers
    Kareen Coulombe (Engineering)
    Damaris Rohsenow (Behavioral and Social Sciences)

    RSVP at the link below:
    https://docs.google.com/forms/d/e/1FAIpQLSesEU2WAqkBls8HaD8hC_WZw7WKulH-u2hbRUjZJaKE5KisBg/viewform

    For more on future events by the Brown Postdoc Council, please join our listserv: https://listserv.brown.edu/cgi-bin/wa?SUBED1=BROWNPOSTDOC&A=1

    We are also on facebook (@BrownPostdocCouncil) and twitter (@BrownPostdoc).

    Brown Postdoc Council is also recruiting new members! Any interested postdocs can reach out to the current co-president of the Council, [email protected]

    More Information 
  • Jun
    14
    Virtual
    3:00pm - 4:00pm

    Workshop - File Transfer Basics

    An overview of methods for moving files onto and off of Oscar. Topics covered include: Linux command line tools for file transfer (scp, rsync, sftp), GUI-based file transfer applications, mounting Oscar’s filesystem using CIFS, and using Globus on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Research
  • Join Virtual EventInstructions: No passcode or registration necessary.

    Neurosurgery Grand Rounds

    Virtual Global Neurosurgery Panel Discussion

    This event will highlight the work of neurosurgeons who have incorporated international work into their practice. Attendings, residents, medical students and other Brown Neurosurgery affiliates can learn about how one may navigate such spaces in which we do not always have direct training.

    Download the event flyer for the speaker lineup.

    More Information Biology, Medicine, Public Health, Research
  • Jun
    11
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Join Carney’s Center for Computational Brain Science (CCBS) on June 10 for a seminar featuring Adam Calhoun, Ph.D., postdoctoral research associate at Princeton University.

    Abstract

    Animals produce behavior by responding to a mixture of cues that arise both externally (sensory) and internally (neural dynamics and states). These cues are continuously produced and can be combined in different ways depending on the needs of the animal. However, the integration of these external and internal cues remains difficult to understand in natural behaviors. To address this gap, Calhoun has developed an unsupervised method to identify internal states from behavioral data, and he has applied it to the study of a dynamic social interaction. During courtship, Drosophila melanogaster males pattern their songs using cues from their partner. This sensory-driven behavior dynamically modulates courtship directed at their partner. Calhoun uses his unsupervised method to identify how the animal integrates sensory information into distinct underlying states. He then uses this to identify the role of courtship neurons in either integrating incoming information or directing the production of the song, roles that were previously hidden. Additionally, Calhoun shows how song is produced by a diverse range of visual cues whose importance changes depending on behavioral context, and he identifies the visual neurons that send this information from the eye into the brain. Calhoun’s results reveal how animals compose behavior from previously unidentified internal states, a necessary step for quantitative descriptions of animal behavior that link environmental cues, internal needs, neuronal activity and motor outputs.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • Please join us for a half-day mini-symposium focused on chromatin and transcriptional mechanisms in human stem cell models of neurodevelopmental disease. 

    This symposium will feature the following speakers: 

    • Luis De la Torre-Ubieta, Ph.D., UCLA; Gene regulation in cortical development and neuropsychiatric disease
    • Stormy Chamberlain, Ph.D., UConn Health; Mechanisms of repression and therapeutic approaches for Angelman syndrome
    • Sofia Lizarraga, Ph.D., University of South Carolina; Counteracting epigenetic mechanisms in autism spectrum disorders
    • Genevieve Konopka, Ph.D., University of Texas Southwestern Medical Center; Cell-type specific transcriptional networks related to autism

    Moderated by Eric Morrow, M.D., Ph.D., Mencoff Family Associate Professor of Biology, Associate Professor of Neuroscience, Associate Professor of Psychiatry and Human Behavior at Brown University. 

    Free and open to the Brown and Lifespan communities. Please register below to attend. 

    More InformationRegistration for this event is now closed. CTN
  • Jun
    10

    The Advance-CTR Translational Research Seminar Series showcases clinical and translational research from across Rhode Island. Presentations, followed by feedback, allow presenters the opportunity to refine and strengthen their research. Seminars are held virtually on the second Thursday of each month.

    June

    Details: June 10, 2021 at 12 p.m. ET.

    Learn More More Information Biology, Medicine, Public Health, Entrepreneurship, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • Jun
    9

    Suicidal Thoughts and Behavior in Early Childhood: Clinical Presentation and Assessment
    John Boekamp, Ph.D.
    Clinical Associate Professor, DPHB
    Alpert Medical School of Brown University
    Clinical Director - Pediatric Partial Hospital Program at Bradley Hospital

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Social Sciences
  • MCB Graduate Student Ph.D. Thesis Defense

    Diego Jaime

    Functional and Structural Studies of the MuSK-BMP Pathway

    Advisor: Justin Fallon, Ph.D.

    Tuesday, June 8, 2021

    1:00 PM

    More Information 
  • Jun
    7
    Virtual
    3:00pm - 4:00pm

    Workshop - Getting Started on Oscar

    An introduction to Oscar, Brown’s research computing cluster, for new users. Participants will learn how to connect to Oscar (ssh, VNC), how to navigate Oscar’s filesystem, and how to use the module system to access software packages on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Research
  • Jun
    4
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series

    Speaker: Sebastian Musslick, Ph.D. student, Princeton University

    Title: On the Rational Bounds of Human Cognition

    Abstract: Humans are remarkably limited in the number of tasks they can execute simultaneously. This limitation is not only apparent in daily life, it is also a universal assumption of most theories of human cognition. Yet, a rationale for why the human brain is subject to this constraint remains elusive. In this talk, I will draw on insights from neuroscience, psychology and machine learning to suggest that limitations in the brain’s ability to multitask result from a fundamental computational dilemma in neural architectures. Through graph-theoretic analysis, neural network simulation and behavioral experimentation, I will demonstrate that neural systems face a tradeoff between learning efficiency (promoted through the shared use of neural representations across tasks) and multitasking capability (achieved through the separation of neural representations between tasks). Theoretical analyses show that it can be optimal for a neural system to prioritize efficient learning of single tasks at the expense of its ability to execute them simultaneously, across a broad range of conditions. These results suggest that our inability to multitask reflects a rational solution to a fundamental computational dilemma faced by neural architectures. I will demonstrate that this tradeoff can explain a variety of behavioral and neural phenomena related to human multitasking and conclude by outlining consequential computational dilemmas that may help explain other, seemingly irrational constraints on human cognition.

    More Information CCBS, Psychology & Cognitive Sciences, Research
  • Jun
    4
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Research
  • Whiteout: How Racial Capitalism Changed the Color of Heroin in America
    Helena Hansen, M.D., Ph.D.
    Professor and Chair of Research Theme in Translational Social Science and Health Equity
    Associate Director of the Center for Social Medicine at UCLA’s David Geffen School of Medicine

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences
  • May
    28
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • passcode:123456
    Designing Artificial Intelligence (AI) is still reserved for experts, and the existing design paradigm follows a data-driven approach: domain experts start with a hypothetical model, verify the model on the task-specific dataset to acquire performance metrics, then revise the model based on prior experiences in hoping to improve the model in the next loop. This thesis seeks to build an intelligent agent to substitute domain experts in this design process. I start with formalizing the current design process as a computational model, upon which I further investigate issues from the algorithmic efficiency and system utilization to build a system that algorithm and system can synergistically together to achieve the target. Specifically, I have proposed a new black box solver, Latent Action Monte Carlo Tree Search (LA-MCTS), to address the sample efficiency, and built a deep learning framework to expand the design space far beyond the GPU DRAM. LA-MCTS won 3rd in the black-box optimization challenge at NeurIPS-2020 among 68 global participating teams, including companies and institutions such as NVIDIA, Huawei, Oxford, IBM, and Innovatrics. Our agent also successfully designs several SoTA neural networks for the image recognition, detection, neural style transfer, and image generation. Collectively, these results provide a partial path toward AI democratization, by building a practical MCTS based AI agent that efficiently designs complex AI without experts for a variety of tasks in a reasonable amount of time.
    Host: Professor Rodrigo Fonseca
    More Information 
  • May
    27
    Virtual
    12:00pm - 1:00pm

    Seminar on Clinical Trials

    The Center for Long-Term Care Quality & Innovation (Q&I) is pleased to announce the Joint Seminar Series on Clinical Trials in Aging.
    Title: “Strategies to Improve Nursing Home COVID-19 Vaccine Uptake”
    Featuring: Sarah Berry, MD, MPH
    Harvard Medical School & Hinda and Arthur Marcus Institute for Aging Research
     
    Nursing homes residents represent about 1% of the US population but, at the height of the pandemic, contributed about 5% of cases and nearly 40% of deaths. Residents and staff were prioritized for vaccination, but staff uptake, in particular, has remained low.

    Dr. Berry will present on strategies to improve COVID-19 vaccine uptake, including data from IMPACT Collaboratory observational studies and a pragmatic trial.
    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health
  • Join Virtual EventInstructions: Meeting ID: 984 9348 3988
    Passcode: 338168

    Please join the Carney Institute for Brain Science for a special seminar featuring Kanaka Rajan, Ph.D., assistant professor at Icahn School of Medicine at Mount Sinai.

    Brown authentication is required.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • Please join the Center for Translational Neuroscience for a special seminar featuring Yong-Hiu Jiang, MD PhD, Chief of Medical Genetics at the Yale School of Medicine. 

    Dr. Jiang is a physician scientist active both in basic research and clinical practice. His research interests are to 1) uncover the genetic and epigenetic bases of neurodevelopmental disorders or rare diseases with neurodevelopmental defects; 2) model genetic diseases using human patients derived cellular models and genetic mutant mice; 3) understand the circuit and molecular mechanisms underlying autism spectrum disorder; 4) develop novel molecular and epigenetic targeted therapies for genetic and epigenetic diseases. His clinical expertise is on clinical and biochemical genetics of rare and undiagnosed diseases in children and adults. This seminar will be focused on modeling SHANK gene mutations, implicated in autism spectrum disorder and other neuropsychiatric conditions. 

    Organized by the Center for Translational Neuroscience, and hosted by Eric Morrow, MD, PhD, Mencoff Family Associate Professor of Biology, Associate Professor of Neuroscience, Associate Professor of Psychiatry and Human Behavior. 

    Please join the seminar using the link above. 

    Contact [email protected] with any questions. 

    More Information CTN
  • Join Carney’s Center for Computational Brain Science (CCBS) on May 25 for a seminar on “Extracting structure from high-dimensional neural data,” featuring Carsen Stringer, computational neuroscientist and group leader at the Howard Hughes Medical Institute Janelia Research Campus.

    Stringer completed her postdoctoral work with Marius Pachitariu and Karel Svoboda at Janelia, and her Ph.D. work with Kenneth D. Harris and Matteo Carandini at University College London. She develops tools for understanding high-dimensional visual computations and neural representations of behavior.

    Abstract

    Large-scale neural recordings contain high-dimensional structure that cannot be easily captured by existing data visualization methods. We therefore developed an embedding algorithm called Rastermap, which captures highly nonlinear relationships between neurons, and provides useful visualizations by assigning each neuron to a location in the embedding space. Compared to standard algorithms such as t-SNE and UMAP, Rastermap finds finer and higher dimensional patterns of neural variability, as measured by quantitative benchmarks. We applied Rastermap to a variety of datasets, including spontaneous neural activity, neural activity during a virtual reality task, widefield neural imaging data during a 2AFC task, artificial neural activity from a bipedal robot simulation, and neural responses to visual textures. We additionally found that texture identity could be decoded from these neural responses, but that the neural representations of visual texture differed from artificial neural network representations.

    More Information CCBS, Psychology & Cognitive Sciences, Research
  • Join the Carney Institute for the Brain Science for its External Postdoc Seminar Series (BrainExPo), featuring Seungwon (Sebastian) Choi, Ph.D., postdoctoral fellow at Harvard Medical School.

    Abstract

    Each day we experience myriad somatosensory stimuli: hugs from loved ones, warm showers, a mosquito bite, and sore muscles after a workout. These tactile, thermal, itch, and nociceptive signals are detected by peripheral sensory neuron terminals distributed throughout our body, propagated into the spinal cord, and then transmitted to the brain through ascending spinal pathways. Primary sensory neurons that detect a wide range of somatosensory stimuli have been identified and characterized. In contrast, very little is known about how peripheral signals are integrated and processed within the spinal cord and conveyed to the brain to generate somatosensory perception and behavioral responses. We tackled this question by developing new mouse genetic tools to define projection neuron (PN) subsets of the anterolateral pathway, a major ascending spinal cord pathway, and combining these new tools with advanced anatomical, physiological, and behavioral approaches. We found that Gpr83+ PNs, a newly identified subset of spinal cord output neurons, and Tacr1+ PNs are largely non-overlapping populations that innervate distinct sets of subnuclei within the lateral parabrachial nucleus (PBNL) of the pons in a zonally segregated manner. In addition, Gpr83+ PNs are highly sensitive to cutaneous mechanical stimuli, receive strong synaptic inputs from primary mechanosensory neurons, and convey tactile information bilaterally to the PBNL in a non-topographically organized manner. Remarkably, Gpr83+ mechanosensory limb of the anterolateral pathway controls behaviors associated with different hedonic values (appetitive or aversive) in a scalable manner. This is the first study to identify a dedicated spinal cord output pathway that conveys affective touch signals to the brain and to define parallel ascending circuit modules that cooperate to convey tactile, thermal and noxious cutaneous signals from the spinal cord to the brain. This study has also revealed exciting new therapeutic opportunities for developing treatments for neurological disorders associated with pain and affective touch.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • May
    21
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • The Department of Behavioral and Social Sciences is pleased to announce the dissertation defense of Kira DiClemente on May 20, 2021 at 1:00 p.m. EST.

    “Mental health experiences of women exposed to war and violence in Africa: a community-based approach”

    Despite sharing a culture of resilience and strong community, African women exposed to war and violence carry a high burden of post-traumatic stress disorder, depression, and anxiety. Using a community-based approach, this dissertation examines the social context of the mental health experiences of African women exposed to war and violence. In partnership with members of the African refugee community in Providence, Rhode Island, Aims 1 and 2 of this research investigate key influences on women’s mental health, including exposure to traumatic events, sociocultural norms, and intimate partner relationships. Aim 3 presents an empirical investigation of these topics among women who remain in post-conflict settings. These findings offer novel and community-driven perspectives on intervention opportunities to address the mental health needs of this population.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing and otherwise displaying the recording, within its sole discretion.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, International, Global Engagement, Research, Social Sciences
  • Join Virtual EventInstructions: The Zoom link will become available at 4:00 pm on 5/19/21.

    Zoom Link - Available on 5/19 at 4:00 pm

     

    ROBERTA DE VITO

    Assistant Professor of Data Science and Biostatistics

     

    MULTI-STUDY FACTOR ANALYSIS IN GENOMIC AND EPIDEMIOLOGICAL DATA

    Biostatistics and computational biology are increasingly facing the urgent challenge of efficiently dealing with a large amount of experimental data. In particular, high-throughput assays are transforming the study of biology, as they generate a rich, complex, and diverse collection of high-dimensional data sets. Through compelling statistical analysis, these large data sets lead to discoveries, advances, and knowledge that were never accessible before, via compelling statistical analysis. Building such systematic knowledge is a cumulative process which requires analyses that integrate multiple sources, studies, and technologies. The increased availability of ensembles of studies on related clinical populations, technologies, and genomic features poses four categories of important multi-study statistical questions: 1) To what extent is biological signal reproducibly shared across different studies? 2) How can this global signal be extracted? 3) How can we detect and quantify local signals that may be masked by strong global signals? 4) How do these global and local signals manifest differently in different data types?

    We will answer these four questions by introducing a novel class of methodologies for the joint analysis of different studies. The goal is to separately identify and estimate 1) common factors reproduced across multiple studies, and 2) study-specific factors. We present different medical and biological applications. In all the cases, we clarify the benefits of a joint analysis compared to the standard methods.

    Our method could accelerate the pace at which we can combine unsupervised analysis across different studies, and understand the cross-study reproducibility of signal in multivariate data.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.
    More Information 
  • Join Virtual EventInstructions: Meeting ID: 974 5891 3319
    Passcode: 319728

    Join the Moore Lab for a talk on “Reorganization of cortical representations during tactile learning,” featuring Andrew Hires, Ph.D., assistant professor of biological sciences at the University of Southern California.

    Abstract

    Reorganization of cortical representations during tactile learning neural representations of the external world are built from patterns of sensory input. In the cortex, these representations can be surprisingly dynamic, shifting over time and across learning. We investigated this reorganization using volumetric two-photon imaging of primary somatosensory cortex in mice learning to discriminate orientation of simple shapes with their whiskers. I will present how the representations of shape are distributed across cortical layers, how they are assembled from sensory input features, and how training increases the importance of task-relevant sensory features, specifically enhancing discrimination of trained examples. These results suggest mechanisms by which cortical reorganization allows flexible improvement in task performance while maintaining perceptual stability.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join us next for our last PSRIG seminar of this 2020-2021 academic year! We are very excited to welcome Dr. Michael Smith, Professor of Psychiatry, Neurology & Nursing, and Director of Behavioral Medicine at John Hopkins University School of Medicine.

    Dr. Smith’s presentation is entitled: “Insomnia, sleep loss and hyperalgesia: new finding on the role of inflammation”

    Abstract

    This talk will present new data linking slow wave sleep loss to inflammation and pain sensitivity and highlight the possibility that positive affect may buffer this effect. Clinical data describing the insomnia short sleeper phenotype in women with temporomandibular joint disorder will also be discussed.

    About PSRIG Seminar Series

    If you would like to be added to the Providence Sleep Research Interest Group (PSRIG) mailing list, please email Patricia Wong at [email protected]

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • May
    14
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • This month’s Translational Research Seminar “Updates About and Opportunities from the COBRE Center for Central Nervous System Function” presented by Jerome Sanes, PhD Professor of Neuroscience, Director of MRI Facility. Register now.

    The Advance-CTR Translational Research Seminar Series showcases clinical and translational research from across Rhode Island. Presentations, followed by feedback, allow presenters the opportunity to refine and strengthen their research. Seminars are held virtually on the second Thursday of each month.

    Register now! More Information Biology, Medicine, Public Health, Entrepreneurship, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • Join Virtual EventInstructions: This Zoom link will become available at 4:00 PM on 12 May 2021.

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.

    Zoom Link - Available on 5/12 at 4:00 pm

     

    BRENDA RUBENSTEIN

    Joukowsky Family Assistant Professor of Chemistry

     

    PREDICTING VIABILITY: HOW PROTEIN FOLDING, BINDING, AND DYNAMICS CORRELATE WITH FITNESS

    Please see the abstract PDF (linked on the left).

    More Information 
  • Psychosocial Issues that Arise in Caring for Gender Diverse Youth and Navigation of the Rhode Island Gender Care System

    Agnieszka Janicka, M.D.

    Director, Adult Gender and Sexuality Behavioral Health Program - Lifespan

    And

    Jason Rafferty, M.D., MPH, EdM

    Pediatrician and Child Psychiatrist

    Gender & Sexuality Clinic at Hasbro Adolescent Health Center - Department of Pediatrics at Thundermist Health Centers

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Social Sciences
  • May
    7
    Virtual
    3:30pm - 4:30pm

    ICoN T32 Training Program Open House

    Join Virtual EventInstructions: Please note, Brown authentication is required to attend this event. 

    The Interdisciplinary Training in Computational, Cognitive, and Systems Neuroscience (ICoN) is a pre-doctoral program in computational cognitive neuroscience. Funds from this program will support the training of advanced pre-doctoral candidates who are capable of applying a combination of empirical and theoretical approaches that decisively addresses their scientific questions about the mind and brain. 

    On May 7 at 3:30 p.m., join the PIs and current students to learn about the ICoN training program and how to apply to join the next cohort of students.  

    Applications for this year’s program are due May 21, 2021. 

    More Information Biology, Medicine, Public Health, CCBS, Graduate School, Postgraduate Education, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • May
    7
    Virtual
    1:30pm - 4:30pm

    Research Computing Bootcamp: Day 5

    Join us for week-long series of interactive tutorials presented by CCV staff members. Today’s tutorials include:

    • Working with MPI (1:30 - 3:00)
    • Debugging and Performance Profiling (3:00 - 4:30)

    For a complete list of topics, along with a schedule, visit the Bootcamp website.

    Zoom links for each tutorial will be sent out via email the day before it is scheduled to occur to those who register. You must register for a session to receive its link.

    Register More Information Research
  • May
    7
    Virtual
    10:00am - 12:00pm

    CANCELED: CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: Please register at the link above to receive Zoom access information

    Join representatives from the Engaged Scholarship and Broader Impacts Working Group for a 45 minute session on Library Resources for Proposal Preparation, hosted by the Brown University Library.

    This event is the third of three in a new Spring 2021 series:

    Square One: Integrating Broader Impacts into Project Proposals at Brown

    Events exploring how to develop grant proposals for high-quality Engaged Scholarship and Broader Impacts (ES/BI) work, with a focus on structuring project evaluation components and leveraging Brown Library offerings.

    More Information 
  • May
    6
    Virtual
    9:30am - 4:00pm

    Research Computing Bootcamp: Day 4

    Join us for week-long series of interactive tutorials presented by CCV staff members. Today’s tutorials include:

    • Foundations for Bioinformatics Data Analyses (9:30 - 11:00)
    • Basic Bioinformatics Workflows on Oscar: BioFlows (11:00 - 12:00)
    • Annotation Resources for Downstream Analyses Using Bioconductor (1:30 - 3:00)
    • Bioinformatics Q&A Session (3:00 - 4:00)

    For a complete list of topics, along with a schedule, visit the Bootcamp website.

    Zoom links for each tutorial will be sent out via email the day before it is scheduled to occur to those who register. You must register for a session to receive its link.

    Register More Information Research
  • May
    6
    Virtual
    9:30am - 4:00pm

    2021 Biology of Aging Colloquium

    REGISTER HERE

    More Information ALZ, Biology, Medicine, Public Health, Graduate School, Postgraduate Education
  • May
    5
    11:00am - 12:30pm

    Academic May Grand Rounds

    Academic Grand Rounds*

    The 23rd Annual David H. Barlow Oration Academic Grand Rounds*

    PTSD, Resilience, and Everything in Between: Making Sense of Outcome Heterogeneity Following Potential Trauma

    George Bonanno, Ph.D.

    Department of Counseling and Clinical Psychology

    Teachers College, Columbia University

    Wednesday, May 5, 2021 ◊ 11:00 am - 12:30 pm

    More Information 
  • May
    5
    Virtual
    9:30am - 4:30pm

    Research Computing Bootcamp: Day 3

    Join us for week-long series of interactive tutorials presented by CCV staff members. Today’s tutorials will be split into four tracks that will run concurrently:

    1. Programming in MATLAB
      • Using MATLAB on Oscar (9:30 - 11:00)
      • MATLAB: Programming Basics (11:00 - 12:30)
      • MATLAB: Improving Performance (1:30 - 3:00)
      • MATLAB: Tools for Parallel Computing (3:00 - 4:30)
    2. Programming in Python
      • Using Jupyter Notebooks (9:30 - 10:00)
      • Python Programming Basics (10:00 - 12:00)
      • Data Wrangling in Python (1:30 - 3:00)
      • Using Python on Oscar (3:15 - 4:30)
    3. Programming in R
      • A Gentle Introduction to R Programming (9:30 - 12:00)
      • R/TidyVerse Essentials (1:30 - 2:30)
      • Essentials of GGplotting with R (2:45 - 3:45)
      • Using R on Oscar (4:00 - 4:30)
    4. Programming in Julia
      • Introduction to Julia (9:30 - 11:30)

    For a complete list of topics, along with a schedule, visit the Bootcamp website.

    Zoom links for each tutorial will be sent out via email the day before it is scheduled to occur to those who register. You must register for a session to receive its link.

    Register More Information Research
  • May
    4
    Virtual
    9:30am - 4:30pm

    Research Computing Bootcamp: Day 2

    Join us for week-long series of interactive tutorials presented by CCV staff members. Today’s tutorials include:

    • Version Control with Git (9:30 - 11:00)
    • Building Software on Oscar (11:00 - 12:30)
    • Slurm for Beginners (1:30 - 3:00)
    • Advanced Slurm (3:00 - 4:30)

    For a complete list of topics, along with a schedule, visit the Bootcamp website.

    Zoom links for each tutorial will be sent out via email the day before it is scheduled to occur to those who register. You must register for a session to receive its link.

    Register More Information Research
  • May
    3
    Virtual
    3:00pm - 5:00pm

    CLPS PhD Defense: Emily Levin

    Speaker: Emily Levin, Brown University

    Title: Role of Predicted Utility and Gating on Working Memory Fidelity

    Advisor: David Badre

    ~ link information to the meeting sent to clps all ~

    If you are not a part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator.

    More Information Psychology & Cognitive Sciences
  • May
    3
    Virtual
    9:30am - 4:30pm

    Research Computing Bootcamp: Day 1

    Join us for week-long series of interactive tutorials presented by CCV staff members. Today’s tutorials include:

    • Getting Started on Oscar  (9:30 - 11:00)
    • Working on the Command Line (11:00 - 12:30)
    • Basic Bash (1:30 - 3:00)
    • File Transfer Basics (3:00 - 4:30)

    For a complete list of topics, along with a schedule, visit the Bootcamp website.

    Zoom links for each tutorial will be sent out via email the day before it is scheduled to occur to those who register. You must register for a session to receive its link.

    Register More Information Research
  • Apr
    30
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Cydney Dupree (Assistant Professor, Yale)

    Title: Crossing Status Divides: Stereotypes, Strategies, and Solutions.

    Abstract: Intergroup interactions can be difficult, particularly those that occur between members of traditionally high-status and low-status groups. Well-intentioned majorities (i.e., White liberals) may find themselves unintentionally contributing to this problem by engaging in well-meaning, but ultimately patronizing, verbal behavior. Racial minorities who are more supportive of inequality (i.e., Black or Latinx conservatives) may give themselves a leg up by reversing stereotypes through speech. In this talk, I present a series of studies that examine how White Americans and racial minorities reverse negative stereotypes via language—potentially impacting who gets along and who gets ahead in an increasingly diverse world.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • In this talk, Professor Savova will position the latest developments in clinical Natural Language Processing (NLP) in the context of the explosive achievements in the broader NLP field. How can clinical NLP advance in the era of data hungry methods? Does it matter how the personally identifiable information is obliterated in clinical text? Prof. Savova will demonstrate how the latest methods are applied to core tasks – information extraction and temporal relation extraction – through some of the translational science initiatives in her lab (Deep Phenotyping for Oncology/DeepPhe, Temporal Histories of Your Medical Events/THYME).

    About the speaker:

    Professor Savova’s research focuses on higher level semantic and discourse processing of the clinical narrative employing machine learning methods and the creation of computable gold standards. This has resulted in over 150+ publications and the creation of pioneering tools and structures that adhere to and progress the development of national and international standards within clinical informatics and Natural Language Processing (NLP). It has also resulted in a pioneering open source scalable NLP platform for information extraction from the clinical narrative - clinical Text Analysis and Knowledge Extraction System (cTAKES (ctakes.apache.org). Under her leadership, cTAKES started as a local research project derivative in 2006 with a team of three and has grown into a top-level project within the most respected open source organization – the Apache Software Foundation – with contributors from at least 3 continents. The significance of her work to biomedicine is exemplified by translational science projects such as Integrating Biology and the Bedside (i2b2), Pharmacogenomics Research Network (PGRN), Electronic Medical Record and Genomics (eMERGE), Strategic Health Advanced Research Project (SHARP), NCI’s Informatics Technologies for Cancer Research (ITCR) through Deep Phenotyping for Cancer platform (DeepPhe).

    I2S2 covers the breadth of topics in effectively using data and technology to advance biomedical discovery and healthcare delivery. Each learning activity (seminar, journal club, workshop, or tutorial) features methods, applications, or resources that are aligned with components of a learning health system. This series is a joint initiative between the Brown Center for Biomedical Informatics, Brown Department of Psychiatry and Human Behavior Implementation Science Core, Rhode Island Quality Institute, and Advance Clinical and Translational Research (Advance-CTR).

    Register now! More Information Biology, Medicine, Public Health, Entrepreneurship, Mathematics, Technology, Engineering, Research, Training, Professional Development
  • Apr
    30
    Join Virtual EventInstructions: Please contact [email protected] for passcode

    Title:  “Identifying the functional and anatomical
    circuitry of Parkinson’s disease motor
    dysfunction for closed-loop deep brain
    stimulation

    Advisor:  Wael Asaad, MD PhD

    More Information Biology, Medicine, Public Health, Research
  • Apr
    30
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Our featured speakers are:  James Rudolph, MD, SM
                                                 Professor, Medicine
                                                 Professor, Health Services Policy & Practice
                                                 and
                                                 Miranda Olson, MSc
                                                 Project Analyst
    Their presentation is entitled, “Rocking around the nursing home: Implementation of personalized music.
    Delivery of personalized music to nursing home residents with Alzheimer’s disease and related dementias (ADRD) requires implementing a complex intervention in a unique care delivery system. Using a guiding conceptual framework, our speakers will describe variation in facility implementation via a composite adherence score.
    More Information Biology, Medicine, Public Health
  • Assistant Professor Dionna Williams from the Johns Hopkins University School of Medicine will present “Cannabidiol as a Modulator of Chronic Inflammation during HIV Infection”.  This lecture is part of the 2021 Pathobiology Graduate Program Spring Seminar Series.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education
  • Join Virtual EventInstructions: Please contact [email protected] for seminar passcode

    Title:  Neurobiology of sexually dimorphic social behavior

    More Information Biology, Medicine, Public Health, Research
  • Apr
    28
    Virtual
    9:00am - 1:00pm

    The Ecosystem of NIH K Awards

    Apply now for this complimentary, virtual workshop led by M.S. (Peg) AtKisson, PhD, which will cover the ins and outs of preparing competitive NIH R and K grant applications. Participation in the Day 1 session (Structuring NIH Proposals) is required for anyone who plans to attend Day 2 (K awards).

    A successful award is the product of the overall ecosystem of the Candidate, the Mentor, and the Environment. In this session, we examine the elements of a successful K Award application and project, showing how the review criteria play out across the application. We also show how the Specific Aims and Research Strategy differ in a K vs R application, and we end discussing the K-to-R transition, and how to design your K Award project from the beginning with that transition in mind.

    Application, Eligibility, & Deadlines

    Interested participants must complete a brief application form to be considered. All investigators from Brown, URI, Boston University, and the affiliated hospital systems (Care New England, Lifespan, VA Providence Healthcare System, and Boston Medical Center) are eligible to apply. Early-career investigators are highly encouraged. Selected participants are expected to attend the entire session(s) for which they registered as space is limited and registration is competitive.

    Apply by Friday, April 9, 2021 by 5 p.m. ET. Applicants will be notified of their acceptance on or before Friday, April 16, 2021.

    About the Instructor

    M.S. (Peg) AtKisson, PhD, trained in neuroscience, but has focused on grant proposals since 2001. She started the research development group at Tufts University, working on large proposals and supporting individual investigators for 8 years and over $140,000,000 of successes across many federal and foundation funders. She joined Grant Writers’ Seminars and Workshops in 2008, as an associate member, presenting training across the country. In 2017 she left to found ATG to create new approaches to grantsmanship training in addition to support for faculty research and leadership development. She still considers herself a neuroscientist first, and she still writes grant proposals.

    Register now! More Information Biology, Medicine, Public Health, Entrepreneurship, Mathematics, Technology, Engineering, Research, Training, Professional Development
  • What is CRISPR? How does gene editing work? 

    Join the Carney Institute for Brain Science for a conversation about the future of gene editing in neuroscience with Kate O’Connor-Giles, Provost’s Associate Professor of Brain Science at Brown University. 

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    Watch previous conversations on the Carney Institute website.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Apr
    27
    Virtual
    1:00pm - 3:00pm

    CLPS PhD Defense: Daniel Ullman

    Speaker: Daniel Ullman , Brown University

    Title: Developing a Multi-Dimensional Model and Measure of Human-Robot Trust

    Advisor: Bertram F. Malle

    ~ link information to the meeting sent to clps all ~

    If you are not a part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator.

    More Information Psychology & Cognitive Sciences
  • Apr
    27
    Virtual
    9:00am - 1:00pm

    Structuring NIH Proposals

    Apply now for this complimentary, virtual workshop led by M.S. (Peg) AtKisson, PhD, which will cover the ins and outs of preparing competitive NIH R and K grant applications. Participation in the Day 1 session (Structuring NIH Proposals) is required for anyone who plans to attend Day 2 (K awards).

    This session starts out with the Specific Aims page with hands-on work before we actually pull apart the structure. The next half of the session focuses on Significance, Innovation, and Approach, with some hands-on work as well. We touch on important issues of Rigor and Reproducibility, sex as a biological variable, and how the Human Subjects sections are now scored under Approach.

    Application, Eligibility, & Deadlines

    Interested participants must complete a brief application form to be considered. All investigators from Brown, URI, Boston University, and the affiliated hospital systems (Care New England, Lifespan, VA Providence Healthcare System, and Boston Medical Center) are eligible to apply. Early-career investigators are highly encouraged. Selected participants are expected to attend the entire session(s) for which they registered as space is limited and registration is competitive.

    Apply by Friday, April 9, 2021 by 5 p.m. ET. Applicants will be notified of their acceptance on or before Friday, April 16, 2021

    About the Instructor:

    M.S. (Peg) AtKisson, PhD, trained in neuroscience, but has focused on grant proposals since 2001. She started the research development group at Tufts University, working on large proposals and supporting individual investigators for 8 years and over $140,000,000 of successes across many federal and foundation funders. She joined Grant Writers’ Seminars and Workshops in 2008, as an associate member, presenting training across the country. In 2017 she left to found ATG to create new approaches to grantsmanship training in addition to support for faculty research and leadership development. She still considers herself a neuroscientist first, and she still writes grant proposals.

    Register now! More Information Biology, Medicine, Public Health, Entrepreneurship, Mathematics, Technology, Engineering, Research, Training, Professional Development
  • Apr
    27

    Sponsored by Advance-CTR, Providence/Boston Center for AIDS Research (CFAR), the Brown BioMed Office of Faculty Administration, and the Brown School of Public Health

    Apply now for this complimentary, virtual workshop led by M.S. (Peg) AtKisson, PhD, which will cover the ins and outs of preparing competitive NIH R and K grant applications.

    Day 1 (April 27): Structuring NIH Proposals — A Short Course

    Day 2 (April 28): The Ecosystem of NIH K Awards (participation in Day 1 is required for anyone registering for Day 2)

    MORE INFORMATION AND APPLICATION AVAILABLE HERE

    More Information Biology, Medicine, Public Health, Research, Training, Professional Development
  • Join Virtual EventInstructions: Passcode 736547

    Join the Moore Lab for a talk on “Axonal dysfunction in prefrontal cortical circuits in models of ASD,” featuring John Huguenard, Ph.D., professor of neurology at Stanford University.

    Abstract

    Epilepsy and Autism Spectrum Disorders show very high comorbidity, with about a third of ASD patients experiencing epileptic seizures. What might be the common elements of circuit dysfunction that contribute to this? To begin to address this question, we have studied prefrontal cortical circuits, important nodes for executive function, in mouse ASD models. We find profound prefrontal cortical circuit hypofunction in offspring following Maternal Immune Activation. Using imaging, behavior, and electrophysiology, we demonstrate abnormal social behaviors, structural deficits in axons, especially axon initial segments, and decreased functional connectivity between deep layer prefrontal cortical neurons and their downstream targets. These studies show how chronic cortical axonal hypofunction in adulthood can result from acute maternal immune activation and point to a novel mechanism for altered executive function in ASD.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join the Carney Institute for the Brain Science for its External Postdoc Seminar Series (BrainExPo), featuring Lisa Scheunemann, Ph.D., an independent research fellow at Freie Universität in Berlin.

    Abstract

    A key function of the brain is to decide which information is relevant enough to be stored as a stable memory. Pathological perturbation of this filtering process can have catastrophic consequences for later decision making. The molecular and circuit mechanisms that gate memory formation by inhibiting the storage of irrelevant information remain yet largely elusive. I have recently identified a memory suppressor mechanism in the Drosophila (fruit fly) brain within a serotonergic circuit (specifically the SPN “Serotonergic Projection Neurons”) upstream of the fly’s memory center. This “memory checkpoint” sustains a default inhibition of memory consolidation for aversive associations controlled by phosphodiesterase (PDE)-mediated suppression of neuronal activity in the SPN. Strikingly, my studies revealed that the dedicated memory checkpoint is modulated by the mating state of female flies: memory suppression by PDE is constantly inhibiting aversive memory consolidation in virgin females and is only released after mating. This mating-dependent switch is mediated by the sex peptide, a sperm-bound peptide transferred to females during copulation. Such a mechanism could promote foraging behavior in virgin females by suppression of risk-related behavior while promoting it after mating to protect the offspring. Thus, I propose that this type of memory suppression represents an important intersection between behavioral- and memory-dependent plasticity to guarantee consolidation of relevant information and context-appropriate decision making.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Apr
    26
    Virtual
    3:00pm - 4:00pm

    Workshop - Basic Bash

    This workshop will cover basic shell scripting in Bash: variables, loops, pipes and more so participants can learn to automate work with Bash. We will assume participants have some familiarity with the linux command line.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Research
  • Apr
    26
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Mark Sabbagh (Professor - Queens University Ontario)                    Title: How do children change their minds (about minds)?
    Abstract: During the preschool years, children change the way they talk about mental states and the way they use other’s mental states to explain and predict behavior. These changes are especially striking for representational, epistemic mental states like knowledge and belief. With a few notable exceptions, these changes happen on a relatively stereotyped timetable, thereby suggesting a strong role for unfolding neuromaturational changes. I will begin my talk by reviewing some older work from our lab that’s focused on characterizing neurodevelopmental factors that may contribute to these changes, including brain electrophysiological work that has provided evidence suggesting a critical role for the maturation of the dorsal medial prefrontal cortex, and a role for dopaminergic functioning. I will also talk about some ongoing attempts to get further converging evidence in support of these claims. In the second part of my talk I will discuss a model of development whereby we suggest that these neurobiological factors are critical because they promote children’s general capacity for updating their representations of the world based on experiences. We propose that this general capacity for representational updating can operate on multiple time scales from updating a model of a particular local situation, to updating conceptual, theoretical understandings of the world. I will describe the beginnings of our work that tries to connect these updating processes to conceptual changes in mental state understanding.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Apr
    23
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:  Taraz Lee (Assistant Professor, University of Michigan)

    Title: Motivation-cognition interactions and their effect on skilled action

    Abstract:  Most day-to-day activities clearly benefit from goal-directed cognitive control and enhanced motivation. However, many people have the intuition that exerting too much control over our actions can be harmful, especially when under pressure to perform. How does enhanced motivation affect cognitive control processes? How do these processes in turn affect skilled motor performance? What are the mechanisms by which enhanced motivation both supports and potentially hampers the activity of neural systems needed for successful performance? These questions are explored in a variety of studies using functional neuroimaging, non-invasive brain stimulation, behavioral studies, and computational modeling.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join the Moore Lab for a talk on “Crucial role for CA2 inputs in the sequential organization of CA1 time cells supporting memory” featuring Chris MacDonald, Ph.D., Massachusetts Institute of Technology.

    Abstract: A large body of work has shown that the hippocampus (HPC) is crucial for remembering event sequences in the context in which they were experienced. Consistent with this idea, the HPC contains time cells and place cells that together may provide a cellular basis for our ability to remember “when” and “where” past events occurred. Time and place cells share several commonalities regarding how each code for repeated experiences in spatially or temporally structured memory tasks. However, there is little known about the specific hippocampal subcircuits that generate temporal and spatial coding in support of hippocampal-dependent memories. In this talk, I will discuss recent work of mine investigating temporal and spatial coding within the dorsal hippocampal CA1 (dCA1) subregion of mice trained on a spatial working-memory task. Inhibiting dorsal hippocampal CA2 (dCA2) inputs into dCA1 disrupted the sequential organization of time cells during the memory retention period and the mouse’s subsequent memory-guided choice. Conversely, inhibiting dCA2 inputs into dCA1 had a marginal effect on the spatial organization of place cells and no effect on the mouse’s choice. Collectively, my work provides compelling evidence that spatial and temporal coding in dCA1 is largely segregated with respect to the dCA2–dCA1 circuit in support of spatial working memory and suggests that CA2 may play a critical role in representing the flow of time in memory within the hippocampal network.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Apr
    23
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: Please contact [email protected] for passcode

    Title: Next Generation Expansion Microscopy Towards Multiplexed Whole Organism Nanoscale Imaging 

    More Information Biology, Medicine, Public Health, Research
  • Professor Stephen Blacklow from the Blavatnik Institute at Harvard Medical School will present “Molecular Mechanisms of Signal Transduction”.  This lecture is part of the 2021 Pathobiology Graduate Program Spring Seminar Series.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education
  • Join Virtual EventInstructions: This link will become available at 2:00 pm on 4/21/21.

     

    Zoom Link - Available on 4/21 at 2:00 pm

     

    PIETER KLEER

    Assistant Professor, Tilburg University

     

    SECRETARY AND ONLINE MATCHING PROBLEMS WITH MACHINE LEARNED ADVICE

    We study online selection problems in which the goal is to select a set of elements arriving online that maximize a given objective function. In our setting, we are given some (machine-learned) information regarding the optimal (offline) solution to the problem. Following a recent line of work, the goal is to incorporate this information in existing (constant-factor) approximation algorithms such that:

    1. One gets an improved approximation guarantee in case the machine-learned information is accurate; and
    2. One does not lose too much in the approximation guarantee of the original algorithm in case the information is highly inaccurate.

    In this talk, I will illustrate these concepts using the classical secretary problem, and discuss an extension to online bipartite matching.

    Joint work with Antonios Antoniadis, Themis Gouleakis, and Pavel Kolev. Appeared in NeurIPS 2020.

     

    BIOGRAPHY

    Pieter Kleer is an Assistant Professor at Tilburg University (The Netherlands) since April 1, 2021. He completed his Ph.D. at CWI (The Netherlands) supervised by Guido Schäfer, and after that was a Postdoctoral Researcher at the Max Planck Institute for Informatics (Germany) hosted by Kurt Mehlhorn. His research interests include algorithmic game theory, online approximation algorithms and approximate uniform sampling of combinatorial objects. Earlier this year, he received de Gijs de Leve award for his PhD thesis, which is awarded once every three years by the Dutch OR society.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.

     

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science.

    More Information 
  • Join Virtual EventInstructions: Please email the MCBGP coordinator for access to this seminar.
    More Information 
  • Careers in science, engineering and medicine offer opportunities to advance knowledge, contribute to the well-being of communities, and support the security, prosperity and health of the United States. However, many women do not pursue or persist in these careers, or they don’t advance to leadership positions because they face barriers, including: implicit and explicit bias; sexual harassment; unequal access to funding and resources; and pay inequity, among others. 

    Brown University alumna Ashley Bear, senior program officer at The National Academies of Sciences, Engineering, and Medicine, will join the Carney Institute for Brain Science for a conversation focused on addressing the underrepresentation of women in STEM. 

    Bear is the study director of the 2020 report “Promising Practices for Addressing the Underrepresentation of Women in Science, Engineering, and Medicine.” The report looks at the underrepresentation of women in STEM and offers practices for addressing this issue.

    The event will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute.

    More InformationRegistration for this event is now closed. ALZ, Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • As part of our Providence Research Sleep Interest Group (PSRIG) seminar series, we welcome you to our next seminar with our guest speaker Dr. Lisa Meltzer, Professor, Division of Pediatric Behavioral Health at National Jewish Health.

    Dr. Meltzer’s presentation is entitled: “Pediatric Sleep Health in Clinical and Community Populations”

    Abstract: Sleep health is a positive attribute that focuses on individual and population level sleep, not just sleep disorders. This presentation will conceptualize the domains of pediatric sleep health, and how these differ from adults. Research examples will be provided from studies of children with chronic illnesses and their parents, as well as community based interventions, including healthy school start times. The PSRIG seminar series has been hosted by Dr. Mary Carskadon and her lab at Brown University for over 25 years.

    PSRIG has historically served as a venue for the local sleep research and sleep medicine community, and for trainees, to learn about current basic and clinical sleep research.

    This year, the series will be held virtually and involve a diverse lineup of speakers from various institutions both nationally and internationally. Seminars will be held at 12 p.m. on the 3rd Tuesday of each month. If you would like to be added to the PSRIG mailing list, please email Patricia Wong at [email protected]

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join the Moore Lab for a talk on “The assay of spatial cognition in rodent models of pediatric encephalopathy,” featuring Jeremy Barry, Ph.D., assistant professor at the University of Vermont.

    Abstract:

    Brain circuits that underpin spatial processing, incorporating the hippocampus and several cortical and subcortical structures, wire together at key stages of early development. Our goal is to understand how genetic or acquired encephalopathic insults to the developing spatial circuit lead to corresponding deficits in navigation, and the encoding or recall of spatial information. Rodent models of both Early-Life Seizure (ELS) and the Pten knockout model of Autism Spectrum Disorder (ASD) exhibit morphological and electrophysiological changes within the hippocampal circuit that correlate with spatial deficit. The extent to which these changes alter hippocampal throughput, the temporal coordination of CA1 pyramidal cell action potentials, and coherent communication with the neocortex, may serve as potential biomarkers of cognitive outcome and suggest novel treatment avenues. Finally, we will discuss the use and possible caveats of optogenetic pacing of the septo-hippocampal circuit to offset learning and memory deficits caused by encephalopathic temporal discoordination.

    More Information Biology, Medicine, Public Health, Research
  • The CAAS Rounds Committee presents: “Addressing Disparities in Substance Use Disorder Treatment for Black Adults” with Dr. Angela Haeny

    More Information 
  • Apr
    16
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Title:  Wiring the eye to brain for binocular vision: lessons from the albino visual system

    More Information Biology, Medicine, Public Health, Research
  • Apr
    15
    Virtual
    12:00pm - 1:30pm

    Perception and Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Laura Thomas (Associate Professor- North Dakota State University)

    Title: Active thought: Interplays between action, perception, and cognition.

    Abstract: I will describe recent research examining the surprising ways in which the actions we perform shape our thought processes, reflecting the sensitivity of perception and cognition to behavioral contexts. Incorporating approaches from both vision science and grounded cognition, I present evidence that experience-driven plasticity tunes visual cognition to facilitate action, leading vision to prioritize action-relevant information both when observers act alone and with a partner. Additional evidence from my lab shows that actions performed in a social context can influence how we perceive those around us. Taken together, these findings contradict purely modular theories of vision and suggest that body-based contexts inform visual processing.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • President’s Assistant Professor Derrick Ong from the National University of Singapore will present “Novel mechanisms of brain stem cell proliferation in the normal brain and brain tumors”. This lecture is part of the 2021 Pathobiology Graduate Program Spring Seminar Series.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education
  • Join Virtual EventInstructions: This link will become available at 4:00 pm on 4/14/21.

     

    Zoom Link - Available on 4/14 at 4:00 pm

     

    TINA ELIASSI-RAD

    Professor of Computer Science, Northeastern University

    GEOMETRIC AND TOPOLOGICAL GRAPH ANALYSIS FOR MACHINE LEARNING APPLICATIONS

    This talk has two parts: (1) geometric analysis for graph embedding and (2) topological analysis for graph distances. First, graph embedding seeks to build an accurate low-dimensional representation of a graph. This low-dimensional representation is then used for various downstream tasks such as link prediction. One popular approach is Laplacian Eigenmaps, which constructs a graph embedding based on the spectral properties of the Laplacian matrix of a graph. The intuition behind it, and many other embedding techniques, is that the embedding of a graph must respect node similarity: similar nodes must have embeddings that are close to one another. We dispose of this distance-minimization assumption. In its place, we use the Laplacian matrix to find an embedding with geometric properties (instead of spectral ones) by leveraging the simplex geometry of the graph. We introduce Geometric Laplacian Eigenmap Embedding (or GLEE for short) and demonstrate that it outperforms various other techniques (including Laplacian Eigenmaps) in the tasks of graph reconstruction and link prediction. This work is joint with Leo Torres and Kevin Chan, and was published in the Journal of Complex Networks in March 2020 (http://eliassi.org/papers/torres_jcn2020.pdf). Second, measuring graph distance is a fundamental task in graph mining. For graph distance, determining the structural dissimilarity between networks is an ill-defined problem, as there is no canonical way to compare two networks. Indeed, many of the existing approaches for network comparison differ in their heuristics, efficiency, interpretability, and theoretical soundness. Thus, having a notion of distance that is built on theoretically robust first principles and that is interpretable with respect to features ubiquitous in complex networks would allow for a meaningful comparison between different networks. We rely on the theory of the length spectrum function from algebraic topology, and its relationship to the non-backtracking cycles of a graph, in order to introduce the Non-Backtracking Spectral Distance (NBD) for measuring the distance between undirected, unweighted graphs. NBD is interpretable in terms of features of complex networks such as presence of hubs and triangles. We showcase the ability of NBD to discriminate between networks in both real and synthetic data sets. This work is joint with Leo Torres and Pablo Suarez-Serrato and was published in the Journal of Applied Network Science in June 2019 (http://eliassi.org/papers/appliednetsci19_nbd.pdf).

    BIOGRAPHY

    Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University in Boston, MA. She is also a core faculty member at Northeastern’s Network Science Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that, she was a Member of Technical Staff and Principal Investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her research is at the intersection of data mining, machine learning, and network science. She has over 100 peer-reviewed publications (including a few best papers and best paper runner-up awardees), and has given over 200 invited talks and 14 tutorials. Tina’s work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, cyber situational awareness, and ethics in machine learning. Her algorithms have been incorporated into systems used by the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project). In 2017, Tina served as the program co-chair for the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (a.k.a. KDD, which is the premier conference on data mining) and as the program co-chair for the International Conference on Network Science (a.k.a. NetSci, which is the premier conference on network science). In 2020, she served as the program co-chair for the International Conference on Computational Social Science (a.k.a. IC2S2, which is the premier conference on computational social science). Tina received an Outstanding Mentor Award from the Office of Science at the US Department of Energy in 2010; became a Fellow of the ISI Foundation in Turin Italy in 2019, and was named one of the 100 Brilliant Women in AI Ethics for 2021. She joined the Inaugural External Faculty at the Vermont Complex Systems Center in 2021.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.

     

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science.

    More Information 
  • Please join us on April 14th for a seminar series presentation by Stephen Schueller, PhD: “Advancing Evidentiary Standards in Digital Mental Health”. There are, by some estimates, more than 10,000 mental health apps available on the various app stores. The vast majority of apps, however, have no evidence for effectiveness, making it difficult for users to understand what might work for them. Dr. Schueller will talk about the promise and perils of mental health apps, provide an overview of One Mind PsyberGuide, a project that identifies and evaluates mental health apps, and discuss the need for advancing evidentiary standards in digital mental health to help increase consumer confidence and guide implementation. Although mental health apps offer the promising potential to extend care and increase the standard of care, fulfilling this promise will require thoughtful consideration of identifying quality tools and how such tools fit into various systems to deliver such resources.

    Stephen Schueller, PhD, is an Associate Professor of Psychological Science and Informatics at the University of California, Irvine. He received his PhD in clinical psychology from the University of Pennsylvania and completed his clinical internship and postdoctoral fellowship at the University of California, San Francisco. As a clinical psychologist and mental health service researcher his work broadly looks creating more scalable mental health resources that make treatment more available and accessible, especially with technology. This includes the development, evaluation, and implementation of web- and mobile-based interventions. He also serves as the Executive Director of One Mind PsyberGuide, a project the aims to empower consumers to make informed choices around digital mental health products.

    More Information Biology, Medicine, Public Health, Humanities, Psychology & Cognitive Sciences, Research, Social Sciences
  • Apr
    14
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Youtao Lu (PhD student, Brown)

    Title: Bear the bare bear: is there a difference between homophones and homonyms in spoken word recognition?

    Abstract: Visual word recognition studies have been debating whether (non-homographic) homophones and homonyms show similar or different effects in processing, and whether a single mechanism, either interactions between representations at different levels (e.g. Pexman & Lupker, 1999) or competition between individual representations at the same level (e.g. Rodd, et al., 2002) can explain both effects conveniently. In this study, we present the results of a set of auditory lexical decision tasks, which show that the answer depends on what information is being processed, and to what extent. The results also suggest that representations of different kinds might not be governed by the same mechanism.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Child & Adolescent Psychiatry Grand Rounds*
    In a Relationship: Partnerships in Science and Practice Toward Preventing Adolescent Dating Violence
    Christie J. Rizzo, PhD
    Associate Professor
    Northeastern University
    Bouvé College of Health Sciences
    Department of Applied Psychology
    Wednesday, April 14, 2021 ◊ 11:00 am - 12:00 pm

    Join Zoom Meeting: https://brown.zoom.us/j/97274984078
    Meeting ID: 972 7498 4078

    More Information 
  • Apr
    13
    Virtual
    4:00pm

    Biology of Aging PAARF

    Join Virtual EventInstructions: TBD

    Kelsey Babcock

    Webb

    Kimberly Abt

    Freiman

    More Information 
  • Apr
    12
    Virtual
    3:00pm - 4:00pm

    Workshop - Version Control with Git

    A practical introduction to version control for software management using Git. Topics covered include: creating a repository, checking the status of a repository, committing changes, viewing changes, reverting to older versions of files, and setting up a remote repository.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Research
  • Deep learning is profoundly reshaping the research directions of entire scientific communities across mathematics, computer science, and statistics, as well as the physical, biological and medical sciences . Yet, despite their indisputable success, deep neural networks are known to be universally unstable. That is, small changes in the input that are almost undetectable produce significant changes in the output. This happens in applications such as image recognition and classification, speech and audio recognition, automatic diagnosis in medicine, image reconstruction and medical imaging as well as inverse problems in general. This phenomenon is now very well documented and yields non-human-like behaviour of neural networks in the cases where they replace humans, and unexpected and unreliable behaviour where they replace standard algorithms in the sciences.

    The many examples produced over the last years demonstrate the intricacy of this complex problem and the questions of safety and security of deep learning become crucial. Moreover, the ubiquitous phenomenon of instability combined with the lack of interpretability of deep neural networks makes the reproducibility of scientific results based on deep learning at stake.

    For these reasons, the development of mathematical foundations aimed at improving the safety and security of deep learning is of key importance. The goal of this workshop is to bring together experts from mathematics, computer science, and statistics in order to accelerate the exploration of breakthroughs and of emerging mathematical ideas in this area.

    More Information Mathematics, Technology, Engineering
  • Apr
    9
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Babak Hemmatian (PhD student, Brown)

    Title: Taking the High Road: a Big Data Investigation of Natural Discourse in the Emerging Consensus about Marijuana Legalization

    Abstract: Over the past dozen years, marijuana legalization has defied increasing polarization in society at large and transformed from a hotly contested issue within the US into one that enjoys a broad consensus. Support has risen from 32% in 2008 to 67% in 2019 (Pew Research Center, 2019). This period coincides with the rise of social media. Research on online discourse has mainly examined the impact of generalized statements (e.g., arguments based on moral values) on mass attitude change. But my research shows that narratives about personal experiences and stances were the main drivers of discourse on marijuana legalization, often at the expense of more generalizable topics of discourse. To support this conclusion, I present analyses based on the largest corpus of marijuana legalization discussions, extracted from Reddit (~3M documents). We applied neural networks to classify comments by expressed attitude and whether they included arguments. We then used geolocation inference to distinguish U.S. discourse from international chatter and to separate pre- and post-legalization content given marijuana’s uneven status across the U.S. during the timeframe (2008-2019). Combining topic modeling with hierarchical clustering, we distinguished the themes that best explain changes in societal attitudes, showing the growing dominance of personal narratives in argumentative and non-argumentative discourse. I will finish by discussing related strands of research that identify the linguistic structure of narratives and arguments at the clause level, use neural networks to identify the same properties in the corpus, and test the ability of text-generating algorithms to produce coherent narratives and arguments.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Apr
    9
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: Please contact [email protected] for passcode

    Title: “Insights for Rett Syndrome from the study of genetic modifiers in Mecp2 mice”

    More Information Biology, Medicine, Public Health, Research
  • Apr
    8
    Join Virtual EventInstructions: For passcode, please contact [email protected]

    Thursday, April 8, 1:00 PM

    Veronica Galvan

    Barshop Institute for Longevity and Aging Studies

    Department of Cellular and Integrative Physiology

    University of Texas Health Science Center at San Antonio

    San Antonio, TX

     

    “Title TBA”

     

    https://www.galvanlab.org

    More Information 
  • Apr
    8
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Yaoda Xu (Senior Research Scientist- Yale University)

    Title: Understanding visual representations in the human occipito-temporal and posterior parietal cortices and convolutional neural networks

    Abstract: In recent studies we showed that non-spatial visual information, including the contents of visual working memory, may be directly represented in the human posterior parietal cortex (PPC). While PPC visual representations exhibit representational diversity and tolerance to image transformations as those in the human occipito-temporal cortex (OTC), they are at the same time more resilient to distraction and under greater attentional control than those in OTC. This suggests the existence of two complementary visual processing systems in the human brain, with OTC participating in the largely invariant aspect of visual processing and PPC participating in the adaptive aspect of visual processing. Together, they provide us with both a stable representation of the visual environment and allow us to flexibly and efficiently interact with the external world. Using neuroscience approaches, I also examined the nature of visual representations in convolutional neural networks (CNNs). I found some similarities as well as large differences between the human OTC and CNNs. Thus despite CNNs’ impressive ability to successfully classify visual objects, there exists some fundamental differences in how visual information is represented in the human OTC and CNNs.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • The Advance-CTR Translational Research Seminar Series showcases clinical and translational research from across Rhode Island. Presentations, followed by feedback, allow presenters the opportunity to refine and strengthen their research. Seminars are held virtually on the second Thursday of each month.

    April

    Details: April 8, 2021 at 12 p.m. ET.

    Learn More More Information Biology, Medicine, Public Health, Entrepreneurship, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research, Teaching & Learning, Training, Professional Development
  • Join Virtual EventInstructions: This link will become available at 4:00 pm on 4/07/21.

     

    MATTHEW HAHN

    Distinguished Professor, Departments of Biology and Computer Science,

    Director, Center for Genomics and Bioinformatics, University of Indiana

     

    THE EVOLUTION OF MAMMALIAN MUTATION RATES

     

    BIOGRAPHY

    Matthew W. Hahn earned his B.S. degree from Cornell University and obtained his Ph.D. from Duke University under the mentorship of Mark Rausher. He was an NSF postdoctoral fellow at the University of California, Davis with Charles Langley and John Gillespie. He is a Distinguished Professor of Biology and Computer Science at Indiana University, where he has held a faculty position since 2005. He currently directs IU’s Center for Genomics and Bioinformatics.

    His research focuses on how evolution has shaped organismal and genomic diversity, and how adaptation is achieved using multiple different types of molecular changes. His lab couples empirical studies of genome sequences with the development of mathematical theory, new statistical models, and the implementation of open-source software. His work introduced the first methods for quantifying and understanding gene gain and loss among species, applying them to primates to understand the differences between humans and our closest relatives. More recent methods developed by his lab have uncovered both the genes and the traits shared between species due to hybridization.

    He has published over 150 scientific articles and two books, which have collectively been cited more than 22,000 times. His research program has been supported by the U.S. NSF and NIH, as well as by the Australian Research Council. He has been the recipient of an NSF CAREER Award, a fellowship from the Alfred P. Sloan Foundation, the Margaret Dayhoff Award from the Society for Molecular Biology and Evolution, the Stebbins Medal from the International Association for Plant Taxonomy, and the Bicentennial Medal from Indiana University. He is an elected fellow of the American Association for the Advancement of Science.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.

     

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science.

    More Information 
  • Apr
    7
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Lauren Franklin (PhD student, Brown)

    Title:
    Toddlers show adult-like sensitivity to consonants and vowels in early word representations

    Abstract:  In the second year of life, babies start rapidly learning words in their native language. Underlying this phenomenon are the phonological representations of these newly familiar words—because toddlers are in the earliest stages of word learning, they may not have developed detailed representations of their words. Previous work has suggested that toddlers, like adults, are sensitive to mispronunciations of consonants in familiar words (Swingley & Aslin, 2002; White & Morgan, 2008), but studies exploring vowel mispronunciations have yielded mixed results. However, Mani and colleagues (Mani & Plunkett, 2007; Mani, Coleman & Plunkett, 2008) found that toddlers are similarly sensitive to mispronunciations of vowels in early words. In this talk, I will present a study in which toddlers’ sensitivity to vowel and consonant mispronunciations is tested using eye tracking and compare these findings to an adult study using the same paradigm. Our study replicates and extends previous work by testing toddlers with a larger set of stimuli than Mani and colleagues using novel distractors as in White and Morgan.
    Our results show that toddlers demonstrate less sensitivity to mispronunciations of vowels than coda consonants, just like adults. However, time course analyses suggest that toddlers are (like adults) still sensitive to vowel mispronunciations: looking to the target image was delayed, if not diminished. Nevertheless, time course trajectories for vowel and coda consonant mispronunciations were strikingly different. As with adults, vowel mispronunciations do not inhibit lexical access to the same extent as consonants. In both consonant and vowel experiments, toddlers show comparable patterns to adults tested in a similar paradigm. These results provide evidence that toddlers not only have adult-like, detailed phonological representations of familiar words, but they also demonstrate adult-like flexibility during word recognition.
    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Please email the MCBGP coordinator for access to this seminar.
    More Information 
  • Apr
    3
    Virtual
    6:00pm - 7:00pm

    Neuro DUG Imposter Syndrome Panel

    Hear from a panel of professors, postdoctoral researchers, graduate students, and undergraduate students about the issue of Imposter Syndrome in neuroscience. We will discuss how aspects of identity and background can impact our sense of belonging in the neuroscience field, and our panelists will share their experiences on navigating Imposter Syndrome in their own careers. We hope to see you there!

    More Information Student Clubs, Organizations & Activities, Training, Professional Development
  • The CAAS Rounds committee presents Hyeouk Chris Hahm, Ph.D., Associate Professor, Boston University School of Social Work 

    More Information 
  • Desiree Byrd, Ph.D., ABPP-CN

    Associate Professor, Department of Psychology

    Queens College and The Graduate Center, CUNY

    Institutions, antiracism, and brain health equity: Is neuropsychology ready?

    Antiracist action is required for authentic, socially just neuropsychological practice. This talk will utilize the historical intersection of racism and cognitive assessment as a lens through which a critique of present-day neuropsychological training, research and clinical care can be completed. Together with examples from research in neuroHIV and dementia, this body of knowledge will be used to demonstrate how the reorientation of training and practice towards professional racial reconciliation can lead to equitable advances in neuropsychological science and service delivery.

    Zoom Link: https://brown.zoom.us/j/99822010940?pwd=VGNhVEswT2o1N0g4Sjdyb0xmeUgwUT09

    Meeting ID: 998 2201 0940

    Passcode: 813665

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences
  • Center for Biomedical Engineering and Carney Institute for Brain Science present a Joint Biomedical Engineering and Brain Science Seminar

    Healing the Brain Using Focused Ultrasound
    by Kullervo Hynynen, Ph.D.
    Vice President for Research, Sunnybrook Research Institute
    Dept. of Medical Biophysics
    University of Toronto

    Abstract: When combined with imaging-guidance focused ultrasound (FUS) provides means for localized delivery of mechanical energy deep into tissues. This focal energy deposition can modify tissue function via thermal or mechanical interactions with the tissue. MRI-guided hemi-spherical phased array technology with CT based beam modulation has made FUS treatments of brain through intact skull possible in the clinical setting. Thermal ablation of a target in a thalamus has been shown to be effective in the treatment of essential tremor and is now FDA approved. The impact of an ultrasound exposure can be potentiated by intravascular microbubbles that can enhance blood-brain barrier (BBB) permeability for a wide variety of molecules, particles and even cells. The ability to modulate the BBB has been shown to be effective in animal models with initial patient trials showing clinical feasibility. In this talk, the progress in utilizing ultrasound phased array technology for brain treatments will be reviewed and its further potential discussed. 

    Hosted by Profs. Arto Nurmikko and Leigh Hochberg

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  • Apr
    1
    Virtual
    12:00pm - 1:30pm

    Perception and Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Edward Vogel (Professor- University of Chicago)

    Title: The impact of distraction on working memory

    Abstract: Working memory is a capacity limited neural system that temporarily maintains information in an active state to support cognitive performance. Humans vary substantially in this ability and these individual differences are stable over time and are predictive of many high level functions such as academic performance and abstract reasoning. Because working memory can represent only a small amount of information at once, attentional mechanisms play a critical role in regulating the flow of information in this system by selectively representing task relevant information and disregarding irrelevant distracting information. Here, I will argue that these mechanisms for dealing with distraction are fundamental to understanding the operation of this memory system and that they are what primarily drive the differences between individuals in working memory ability. Drawing from a variety of behavioral and EEG approaches, my work provides evidence that the efficacy of deploying attentional control over time may provide a common thread linking working memory to other intelligent behaviors.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: This link will become available on March 31 at 4:00 pm.

     

    MADZA FARIAS-VIRGENS

    Ph.D. Candidate, Molecular Celluar and Integrative Physiology, UCLA

    Visiting with the Huerta-Sanchez Lab, CCMB, Brown University

     

    NEUROGENETIC AND EVOLUTIONARY PROCESSES IN BENGALESE FINCH SONG: PARALLELS AND IMPLICATIONS FOR THE STUDY OF HUMAN SPEECH

    The ability to learn how to produce sounds, in addition to associating innate sounds with external events or objects, enables speech and language acquisition in humans. Despite being quite rare or rudimentary among mammals, vocal production learning is very prominent in three bird groups: songbirds, parrots, and hummingbirds. In this work, we identify genes and biological pathways of importance for functional aspects of vocal production learning in the Bengalese finch (Lonchura striata domestica), a domesticated songbird commonly found in pet shops, but also a popular animal model in the study of learned vocal behaviors. The Bengalese finch has a remarkably complex song, in which transitions between vocal units are not fixed, introducing variability in song sequencing. This vocal complexity evolved during its domestication from the white-backed munia, a wild songbird easily found throughout East Asia. We use whole-genome sequencing data and analytical tools from population genomics to assess the contributions of selection processes (such as female choice for more complex songs) and demographic events (such as the major population bottleneck during domestication) in shaping the Bengalese finch’s genetic variation. Using genome-wide Fst scans, we identify several differentiated genomic regions between domesticated and wild songbirds, with the sex chromosome Z showing the greater proportion of highly differentiated genes. We also find that, as many domesticated animals, Bengalese finches are overall less genetically diverse than their wild ancestors, as shown by reduced average heterozygosity per sampled individual. However, genome-wide Tajimas’D scans show that genetic diversity in munias deviates less from expected across the genome, while diversity deviates more from the expected in Bengalese finches, with long stretches of the genome showing either considerable loss or gain of variability. Interestingly, domesticated and wild songbirds differ in multiple components of the dopamine system, a biopathway fundamental to vocal learning. Our results serve to guide further comparative efforts toward identifying convergent patterns of evolutionary change leading to vocal learning in our own species.

     

    BIOGRAPHY

    Madza is conducting a collaborative project between the Okanoya lab at RIKEN Brain Science Institute/University of Tokyo, the Huerta-Sanchez lab at Brown University, and the Xiao lab at IBP-UCLA. Her research investigates the evolutionary forces and neurogenetic mechanisms underlying changes in vocal behavior between Bengalese finches and their ancestral species, white-backed munias.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.

     

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science.

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  • Harold Schlosberg Colloquium

    Speaker: Anna Papafragou

    Title: Event representations in language and cognition

    Abstract: Humans are surprisingly adept at interpreting what is happening around them, even from a single glance. Beginning at infancy, we are able to recognize dynamic events, the roles that various objects and entities play in these events and the temporal and causal components that make up events. Furthermore, we use language to describe our dynamic experiences in ways that reflect our underlying event understanding. Despite the central role of events in human cognition and language, the study of events within cognitive science has until recently remained fragmented. In this talk, I combine psycholinguistic, developmental and cross-linguistic approaches to address a series of key questions about the nature of events: What is the form of conceptual event representations? How do such representations make contact with language in both novice (child) and experienced (adult) communicators? Does cross-linguistic variation in how events are encoded affect the way we think about events in the world? Our findings show that abstract properties of event structure underlie both the conceptual and the linguistic encoding of event structure. Furthermore, the way learners acquire event language supports the presence of deep homologies between linguistic and non-linguistic event architecture. Finally, children and adults from different linguistic communities represent and remember events in similar ways, despite cross-linguistic variation in how events are encoded. Together, these results highlight novel connections between abstract event structure in language and cognition and bear on broad theories about how thought is related to language.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Join Zoom Meeting
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    Meeting ID: 997 9375 4023

    “Tau Imaging in Alzheimer’s Disease Clinical Trials”

    Adam Fleisher, MD, MAS

    Clinical Lead, Eli Lilly & Company

    More Information 
  • Mar
    31
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Jeremy Kuhn (Research Scientist- Institut Jean Nicod (CNRS), Ecole Normale Supérieure)

    Title: Negative concord in spoken and sign language

    Abstract: NPIs appear (roughly) in downward entailing environments. Why? Perhaps because in these environments, widening the domain strengthens the utterance; perhaps because exhaustifying alternatives doesn’t result in contradiction; perhaps because one scopal ordering entails the other. All these explanations turn out to pick out (roughly) the same contexts. Negative concord items appear in a smaller set of contexts: roughly, those that are anti-additive or anti-veridical, as in (1). Why? Here, semantic explanations are scarcer. But here’s one semantic property that these environments have: they prevent discourse referents from being introduced, as seen in (2). (1) Non ho visto nessuno. (Italian)
    not have seen nobody
    ‘I didn’t see anybody.’

    (2) I didn’t see a student in the room. ?? He was studying hard.

    In this talk, I propose that this is, in fact, the explanatory property of NC items. NC items are indefinites that flag the fact (in their lexical semantics) that they will fail to introduce a discourse referent. After spelling this out using dynamic semantics, I show that it has number of advantages: (1) It correctly predicts that NC items must appear under a local anti-veridical operator. (2) If the presupposition that the DR set is empty is made at-issue, we predict negative uses of NC items: exactly what’s attested in fragment answers and non-strict concord languages. (3) It perfectly unites negative concord with recent analyses of other concord phenomena (e.g. distributive concord).

    In the second part of the talk, I turn to typological data from sign languages. Sign languages, like spoken languages, show semantic variation, but, surprisingly, this variation populates a specific corner of the full typological landscape. When we focus on manual signs, sign languages tend to have distributive concord, but tend not to have negative concord. I explain these typological facts as the reflection of an abstract, iconic bias. Under the working theory, distributive concord and negative concord can be explained in relation to the discourse referents they make available. The use of space in sign language also invites iconic inferences about the referents introduced in discourse. I show that these iconic inferences coincide with the meaning of distributive concord but contradict the meaning of negative concord. The sign language typology is thus explained based on what is easy and hard to represent in space.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • As part of their educational outreach efforts to universities, AMGEN scientists will present a series of lectures in workshops that will cover all aspects of the drug discovery process from A to Z.

    Learn More More Information Academic Calendar, University Dates & Events, Biology, Medicine, Public Health, Careers, Recruiting, Internships, Graduate School, Postgraduate Education
  • The Technology and Structural Inequality speaker series will focus on the impact of technology on marginalized communities. The series will bring together leading academics and activists whose work is influencing how we think about and how we fight against the harms that technology is causing. The speakers will examine how technology is being used to increase the surveillance and policing of marginalized communities and how many of these technologies are inherently biased and discriminatory.

    Please join us for a roundtable discussion on bias and discrimination in AI on March 31, 2021 at 11 a.m. This discussion will feature:

    • Rediet Abebe, Assistant Professor of Computer Science at the University of California, Berkeley and a Junior Fellow at the Harvard Society of Fellows
    • Mutale Nkonde, founding CEO of AI For the People (AFP), Practitioner Fellow at the Digital Civil Society Lab at Stanford, and an affiliate at the Berkman Klein Center of Internet and Society at Harvard University
    • Meredith Broussard, Associate Professor of Journalism, Arthur L. Carter Journalism Institute, New York University

    Moderated by Seny Kamara, Associate Professor of Computer Science at Brown University and Chief Scientist at Aroki Systems.

    Free and open to the public. Please register to attend.

    Presented by the Center for the Study of Race and Ethnicity in America (CSREA) in partnership with the Department of Computer Science’s Computing for the People Project.

    Speaker Bios:

    Rediet Abebe is an assistant professor of computer science at the University of California, Berkeley and a Junior Fellow at the Harvard Society of Fellows. Abebe holds a Ph.D. in computer science from Cornell University and graduate degrees in mathematics from Harvard University and the University of Cambridge. Her research is in artificial intelligence and algorithms, with a focus on equity and justice concerns. Abebe co-founded and co-organizes Mechanism Design for Social Good (MD4SG) – a multi-institutional, interdisciplinary initiative. Her dissertation received the 2020 ACM SIGKDD Dissertation Award and an honorable mention for the ACM SIGEcom Dissertation Award for offering the foundations of this emerging research area. Abebe’s work has informed policy and practice at the National Institute of Health (NIH) and the Ethiopian Ministry of Education. She has been honored in the MIT Technology Reviews’ 35 Innovators Under 35 and the Bloomberg 50 list as a one to watch. Abebe also co-founded Black in AI, a non-profit organization tackling equity issues in AI. Her research is influenced by her upbringing in her hometown of Addis Ababa, Ethiopia.

    Mutale Nkonde is the founder of AI For the People (AFP), a nonprofit communications firm.. AFP’s mission is to produce content that empowers general audiences to combat racial bias in tech. Prior to starting AI for the People, Nkonde worked in AI Governance. During that time, she was part of the team that introduced the Algorithmic Accountability Act, the DEEP FAKES Accountability Act, and the No Biometric Barriers to Housing Act to the US House of Representatives. In 2021 Nkonde was the lead author of Disinformation Creep: ADOS and the Weaponization of Breaking News, Harvard Kennedy School Misinformation Review, which kicked off her work in mis and disinformation. AI for the People recently co-produced a film with Amnesty International to support the ban the scan campaign a global push to ban facial recognition.

    Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University and the author of the award-winning book Artificial Unintelligence: How Computers Misunderstand the World. Her research focuses on artificial intelligence in investigative reporting, with a particular interest in using data analysis for social good. She is an affiliate faculty member at the Moore Sloan Data Science Environment at the NYU Center for Data Science, a 2019 Reynolds Journalism Institute Fellow, and her work has been supported by the Institute of Museum & Library Services as well as the Tow Center at Columbia Journalism School. A former features editor at the Philadelphia Inquirer, she has also worked as a software developer at AT&T Bell Labs and the MIT Media Lab. Her features and essays have appeared in The Atlantic, Slate, Vox, and other outlets. Follow her on Twitter @merbroussard or contact her via meredithbroussard.com.

    More Information 
  • Join the Carney Institute for the Brain Science for its External Postdoc Seminar Series (BrainExPo), featuring Anita Devineni, Ph.D., postdoctoral researcher at Columbia University.

    Abstract: The brain must integrate sensory cues from the world with internal information about an animal’s state to generate flexible behavioral responses. My work investigates how this occurs in the taste system of the fruit fly Drosophila. First, I will discuss the neural mechanisms by which a single taste cue can elicit opposing behaviors depending on hunger state, enabling an animal to adapt to changing internal needs. Second, I will describe novel temporal dynamics in the taste system that influence synaptic plasticity during learning, enabling experience-dependent flexibility. Finally, I will discuss preliminary data and future plans to investigate the broader repertoire of behaviors influenced by taste, how they are generated by neural circuits, and how they are modulated by internal states.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Mar
    26
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Mingyu Song (PhD student , Princeton)

    Title: Using Recurrent Neural Networks to Understand Human Reward Learning

    Abstract: Computational models are greatly useful in cognitive science in revealing the mechanisms of learning and decision making. However, it is hard to know whether all meaningful variance in behavior has been account for by the best-fit model selected through model comparison. In this work, we propose to use recurrent neural networks (RNNs) to assess the limits of predictability afforded by a model of behavior, and reveal what (if anything) is missing in the cognitive models. We apply this approach in a complex reward-learning task with a large choice space and rich individual variability. The RNN models outperform the best known cognitive model through the entire learning phase. By analyzing and comparing model predictions, we show that the RNN models are more accurate at capturing the temporal dependency between subsequent choices, and better at identifying the subspace in the space of choices where participants behavior is more likely to reside. The RNNs can also capture individual differences across participants by utilizing an embedding. The usefulness of this approach suggests promising applications of using RNNs to predict human behavior in complex cognitive tasks, in order to reveal cognitive mechanisms and their variability.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • The CAAS Rounds Committee presents: “Characteristics of Young Adults Who Co-use Alcohol and Opioids” with Dr. Ryan Carpenter

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  • Dr. Ryan Carpenter presents, “Prescribed opioid use in daily life: Negative mood, craving, and chronic pain”

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  • Mar
    26
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Mar
    25
    Virtual
    4:00pm - 5:30pm

    Mind Brain Research Day

    Join the Carney Institute for Brain Science and the Department of Psychiatry and Human Behavior for the 23rd Annual Mind Brain Research Day. Dr. Emery N. Brown, M.D., Ph.D. will give the keynote address, entitled “Deciphering the Dynamics of the Unconscious Brain Under General Anesthesia”

    About Dr. Brown

    Dr. Emery Brown is the Warren M. Zapol Professor of Anaesthesia at Harvard Medical School; an anesthesiologist at Massachusetts General Hospital; and the Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience at MIT. Dr. Brown is an anesthesiologist-statistician whose research is defining the neuroscience of how anesthetics produce general anesthesia. He also develops statistical methods for neuroscience data analysis. Dr. Brown has received the American Society of Anesthesiologists Excellence in Research Award and the Dickson Prize in Science, the Swartz Prize for Computational and Theoretical Neuroscience, and a Doctor of Science Honoris Causa from the University of Southern California. He is a fellow of the American Academy of Arts Sciences and the U.S. National Academy of Inventors. Dr. Brown is a member of the U. S. National Academy of Medicine, National Academy of Sciences and the National Academy of Engineering.

    Abstract

    General anesthesia is a drug-induced, reversible condition comprised of five behavioral states: unconsciousness, amnesia (loss of memory), antinociception (loss of pain sensation), akinesia (immobility), and hemodynamic stability with control of the stress response. Our work shows that a primary mechanism through which anesthetics create these altered states of arousal is by initiating and maintaining highly structured oscillations. These oscillations impair communication among brain regions. We illustrate this effect by presenting findings from our human studies of general anesthesia using high-density EEG recordings and intracranial recordings. These studies have allowed us to give a detailed characterization of the neurophysiology of loss and recovery of consciousness due to propofol. We show how these dynamics change systematically with different anesthetic classes and with age. As a consequence, we have developed a principled, neuroscience-based paradigm for using the EEG to monitor the brain states of patients receiving general anesthesia. We demonstrate that the state of general anesthesia can be rapidly reversed by activating specific brain circuits. Finally, we demonstrate that the state of general anesthesia can be controlled using closed loop feedback control systems. The success of our research has depended critically on tight coupling of experiments, signal processing research and mathematical modeling.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions:  

    Title:  Explorations of brain dynamics in reptilian sleep and cuttlefish camouflage  

    More Information Biology, Medicine, Public Health, Research
  • Mar
    24
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Nikole Giovannone (PhD student, UConn)

    Title: Individual differences in acoustic-phonetic and lexical contributions to speech perception

    Abstract: Listeners make use of many cues, including acoustic-phonetic information and lexical knowledge, in order to guide speech perception. Moreover, recent evidence suggests that individual differences in the usage of these cues may be linked to receptive language ability. In this talk, I will present two recent studies from our lab that assessed the relationship between receptive language ability and the relative use of acoustic-phonetic and lexical cues for speech perception. In Study 1, we found that individuals with weaker receptive language ability demonstrated increased reliance on lexical information for speech perception compared to those with stronger receptive language ability. This relationship may reflect differences in how acoustic and lexical cues are weighted during phonetic categorization. In Study 2, we investigated whether the increased lexical reliance observed in Study 1 is the consequence of the specific stimulus distribution used, in which acoustic-phonetic information is the more informative cue for phonetic categorization than lexical context. When the stimulus distribution was altered such that lexical context was the more informative cue for phonetic categorization, individuals with weaker receptive language abilities still demonstrated increased reliance on lexical cues relative to individuals with stronger receptive language abilities. These results suggest that listeners with weaker receptive language abilities down-weight acoustic-phonetic cues and rely more heavily on lexical knowledge during everyday speech perception.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Wei Hu
    Princeton University
    Please Note: Brown Login Required For This Talk
    Abstract: Despite the phenomenal empirical successes of deep learning in many application domains, its underlying mathematical mechanisms remain poorly understood. Mysteriously, deep neural networks in practice can often fit training data almost perfectly and generalize remarkably well to unseen test data, despite highly non-convex optimization landscapes and significant over-parameterization. A solid theory not only can help us understand such mysteries, but also will be the key to improving the practice of deep learning and making it more principled, reliable, and easy-to-use.
    In this talk, I will present our recent progress on building the theoretical foundations of deep learning, by opening the black box of the interactions among data, model architecture, and training algorithm. First, I will show that gradient descent on deep linear neural networks induces an implicit bias towards low-rank solutions, which leads to an improved method for the classical low-rank matrix completion problem. Next, turning to nonlinear deep neural networks, I will talk about a line of studies on wide neural networks, where by drawing a connection to the neural tangent kernels, we can answer various questions such as how training loss is minimized, why trained network can generalize well, and why certain component in the network architecture is useful; we also use theoretical insights to design a new simple and effective method for training on noisily labeled datasets. In closing, I will discuss key questions going forward towards building practically relevant theoretical foundations of modern machine learning.
     
    Bio: Wei Hu is a PhD candidate in the Department of Computer Science at Princeton University, advised by Sanjeev Arora. Previously, he obtained his B.E. in Computer Science from Tsinghua University. He has also spent time as a research intern at research labs of Google and Microsoft. His current research interest is broadly in the theoretical foundations of modern machine learning. In particular, his main focus is on obtaining solid theoretical understanding of deep learning, as well as using theoretical insights to design practical and principled machine learning methods. He is a recipient of the Siebel Scholarship Class of 2021.
    Host: Eli Upfal
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  • Join the Carney Institute for Brain Science for a conversation with Brown University alumni Josh Cohen and Justin Klee about their journey from a dorm room to the development of a potential treatment for neurodegenerative diseases, such as Alzheimer’s and ALS.

    Cohen and Klee are the founders of Amylyx, a Cambridge-based pharmaceutical company dedicated to the development of therapeutics for neurodegenerative disorders. 

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    Watch previous conversations on the Carney Institute website.

    More InformationRegistration for this event is now closed. ALZ, Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Mar
    22
    Virtual
    3:00pm - 4:00pm

    Workshop - Building Software on Oscar

    Learn how to build and install software packages on Oscar. Topics covered include: make, cmake, compiler options on Oscar, pip, building python packages from source, and python virtual environments.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Research
  • Mar
    22
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Tamar Kushnir, Associate Professor, Cornell

    Title: “Learning levels of explanation for human action”

    Abstract: Our ordinary intuitions about human behavior include the idea that single actions can have multiple plausible explanations, and multiple motivations. Why I sit down to a holiday meal with family, for example, could be because of hunger, because like especially like the food being served, because I like spending time with my family, or something to do with the holiday itself. But what is my true motivation? Often this latter question brings into focus a tension between two “levels” of explanation: on one hand, we have subjective, personal reasons for acting in certain ways, and on the other hand, we have interpersonal, or social reasons. In this talk I’ll discuss a series of studies showing how children learn which explanations are most likely, the role that trade-offs between personal and social motives plays in social evaluation, and how we as teachers contribute to creating explanatory biases that follow us from childhood to adult life.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Sarah Dean
    UC Berkeley
    Please Note: Brown Login Required For This Talk
    Title: Reliable Machine Learning in Feedback Systems
    Abstract: Machine learning techniques have been successful for processing complex information, and thus they have the potential to play an important role in data-driven decision-making and control. However, ensuring the reliability of these methods in feedback systems remains a challenge, since classic statistical and algorithmic guarantees do not always hold.

    In this talk, I will provide rigorous guarantees of safety and discovery in dynamical settings relevant to robotics and recommendation systems. I take a perspective based on reachability, to specify which parts of the state space the system avoids (safety) or can be driven to (discovery). For data-driven control, we show finite-sample performance and safety guarantees which highlight relevant properties of the system to be controlled. For recommendation systems, we introduce a novel metric of discovery and show that it can be efficiently computed. In closing, I discuss how the reachability perspective can be used to design social-digital systems with a variety of important values in mind.
    Bio: Sarah is a PhD candidate in the Department of Electrical Engineering and Computer Science at UC Berkeley, advised by Ben Recht. She received her MS in EECS from Berkeley and BSE in Electrical Engineering and Math from the University of Pennsylvania. Sarah is interested in the interplay between optimization, machine learning, and dynamics in real-world systems. Her research focuses on developing principled data-driven methods for control and decision-making, inspired by applications in robotics, recommendation systems, and developmental economics. She is a co-founder of a transdisciplinary student group, Graduates for Engaged and Extended Scholarship in computing and Engineering, and the recipient of a Berkeley Fellowship and a NSF Graduate Research Fellowship.
    Host: Karianne Bergen
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  • Mindfulness-based treatments are emerging as additional intervention options for individuals struggling with various psychiatric disorders, such as post-traumatic stress disorder, major depressive disorder and addiction. In addition, with the day-to-day stress of the COVID-19 pandemic, people are looking for a way to cope with anxiety and grief, and mindful practices may be particularly relevant for this challenging time.

    This event will bring together researchers and health professionals who have extensive experience with mindfulness in research and in clinical settings. The panel will explore the underlying brain mechanisms supporting mindfulness, current research practices, as well as existing and potential future clinical applications of mindfulness techniques. In addition, the conversation will highlight experiences of both mindfulness teachers and practitioners, one of whom will describe their own interest in, and experience with, one form of mindfulness practice.

    Join us for a panel-style discussion followed by a question and answer session. The event will take place on Zoom Webinars.

    Please register to attend. Zoom details will be sent after registration.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Mar
    19
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Felipe De Brigard (Associate Professor, Duke)

    Title: Moral memories and the self

    Abstract: It is commonly held that autobiographical memory structures our personal identity through time, and that it provides the foundation of our enduring self. Recently, however, a number of studies have shown that the continuity of our moral traits and the systematicity of our moral decision-making may be more important to our judgments of self and personhood than the continuity of our autobiographical memories. What is unclear, though, is how autobiographical memory and moral decision-making interact. In this talk I will explore this issue, and will present some results that speak to the way in which people remember personal events involving moral decision-making, and how they help to shape our self-identity.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Please note this talk is for faculty only. A Zoom link will be sent to registrants prior to the talk.

    Please note the following talk is only available to faculty members.

     

    SEAN MONAGHAN, MD, FACS

    Assistant Professor of Surgery, Brown University

     

    Lots of Data from Really Sick Patients: What to Do?

    The generation of genomic data is exceeding the generation of data from other sources such as YouTube and Twitter. When the genomic data comes from a patient or multiple patients with similar diseases how do we utilize it to inform clinical practice? When this data comes from very sick patients, can we use it to better care? How can we manage all this data as it relates to patients when we are trained to use very specific tests. This talk will highlight some data from critically ill patients with COVID and how we use that data in patient care. We will also discuss other data management techniques and why they may not be applicable in the real-world scenario of COVID-19. It is hoped that there will be a robust discussion of other techniques from other disciplines.

     

    BIOGRAPHY

    Sean F. Monaghan, MD, FACS, is an Assistant Professor of Surgery at Brown University and a member of the Division of Trauma and Surgical Critical Care and the Division of Surgical Research. His research attempts to understand the biology of RNA splicing in critically ill trauma and surgical patients using Acute Respiratory Distress Syndrome (ARDS) as a model disease. He uses both human samples and animal models as well as large data sets (GTEx) with computation and molecular biology techniques in his research. His research hopes to translate RNA sequencing technology for use by clinicians in the intensive care unit. Dr. Monaghan has been supported by the American College of Surgeons C. James Carrico Faculty Research Fellowship and the National Institutes of Health as a Pilot Project and the Principal Investigator for Project 5 of the CardioPulmonary Vascular Biology Center of Biomedical Research Excellence.

     

    (F4F) Faculty for Faculty Research Talks

    DSI Faculty for Faculty Research Talks are an opportunity for faculty to share current data science-related research activities with other faculty colleagues in an informal environment. The talks are presented at a very general level, to stimulate discussion and interdisciplinary interchange of ideas.

    Our goal is to provide a networking venue that promotes research collaborations between faculty across all disciplines; awareness of the breadth of data science-related research at Brown; and a forum for faculty to share their expertise with one another. Participation will be limited to faculty members.

    More Information 
  • Mar
    19
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Mar
    18
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: