Events

 

COBRE Center for Computational Biology of Human Disease

Call for Applications

2023-2024 CBHD COBRE Institutional Pilot Award

The goal of the COBRE Center for Computational Biology of Human Disease (CBHD COBRE) Institutional Pilot Award Program is to identify and support activities of talented junior investigators working on human disease-related questions that require computational analyses of complex data sets. Awardees will gain access to the Computational Biology Core (CBC) of staff data scientists who will assist with data analyses. In addition, awardees may be considered for recruitment to a Project Leader position in the CBHD COBRE program.

Eligibility

Applicants for this Pilot Program must hold a faculty appointment (or equivalent) at Brown University or its affiliated hospitals, and propose work that is consistent with the goals of the CBHD COBRE. At the time the application is submitted, the applicant's home institution must demonstrate, in a letter(s) from the Dean, the Provost, or equivalent senior institutional official(s), a clear commitment to support a multi-year faculty appointment for the proposed Pilot Project Leader independent of the outcome of this grant application. Examples of strong institutional commitment include a start-up package provided by the institution and/or independent research space within the institution. Priority will be given to junior faculty applicants. Established investigators of any faculty rank may apply if they are making significant changes to their career goals and are proposing new lines of research that are significantly different from their current investigative program. 

Amount and Duration of Award

We expect to fund at least two 1-year projects for $50,000 Direct Costs each. Indirect costs and faculty salaries are not allowed. Pilot Project PI's are expected to devote effort however funds may not be used for PI salary.  Institutional support of PI effort must be documented in a letter of support signed by the appropriate institutional official who is responsible for salary oversight. Competitive proposals might include requests for funding to generate new omics-level data sets that would require computational analysis with the help of the CBHD COBRE Computational Biology Core. Alternatively, requests for partial support for a computational biology postdoctoral fellow to join a PI’s research group would be responsive to this request for applications.  This award is expected to be given from 08/01/23 – 07/31/24 with a possibility of a no cost extension (NCE) through 01/01/25.  A NCE is not guaranteed.

Timeline

Applications must be completed using UFunds and are due by 8:00 a.m. on Monday, May 1, 2023

Internal Advisory Committee Review Due Date:  May 15, 2023

External Advisory Committee Review Due Date: June 1, 2023

Estimated Application Award Date: August 1, 2023

Application Process

Applications must be completed using UFunds and should follow an abbreviated NIH format with minor modifications. Click here for PHS 398 forms and instructions. Read and follow Instructions carefully.

  1. NIH face page (PHS 398 face page)
  2. NIH Project Summary Page (PHS 398 Form Page 2)
  3. Research Strategy – Limited to 5 pages including Specific Aims and Research Strategy.
  • Specific Aims – Describe the scientific context and project goals for the 12-month pilot project (½ page).
  • Significance:  Overall significance of the project, including relevance to goals of the CBHD COBRE, and plans for use of data from the pilot award for subsequent independent funding.
  • Innovation:  Include both conceptual and technical innovation.
  • Approach:  Preliminary data (if applicable) and research plan including expected results and alternative approaches. 
  • References: Not included in 5 page limit

 

IRB and IACUC approvals (if applicable) must be initiated at the time of application and in place before funding begins.

  1. PHS 398 Human Subjects and Clinical Trials information Form (Click here for form and here for instructions)
    1. IRB approval
    2. Human subjects education certification
  2. Vertebrate Animals per PHS 398 Instructions (if applicable)
    1. IACUC approval
    2. Vertebrate Animal Section
  3. NIH Biographical Sketch of PI
  4. Updated Other Support of PI
  5. Detailed Budget with Justification using PHS 398 form pages 4 & 5.
    1. Indirect costs are not allowed
    2. Costs of equipment >$5,000 and renovations are not permitted.
    3. Faculty salary is not allowed.

Review Process and Selection Criteria

Criteria for Selection

Funding will be determined based on review by the CBHD COBRE Internal and External Advisory Committees.
​The final selection will be made based on the following criteria:

  • Scientific merit of the work
  • Potential for the award to provide a basis for further research support from external sponsors
  • Potential impact of the research on human disease
  • Use of computational biology methods for data analysis
  • Likelihood that the proposed work will be completed during the award period
  • Strength of the potential investigator to become a leading independent researcher
  • Factors that increase the inclusion of underrepresented groups

Expectations

Awardees will be expected to present a seminar describing their project and results as part of the CBHD COBRE Seminar Series.  They will also be expected to attend the CBHD COBRE and CCMB seminar series. In addition, they are required to provide quarterly reports as requested, as well as a final progress report within 60 days of the end of the approved award period. The report should outline the work that was accomplished and describe the proposal(s) submitted to external sponsor(s) as a result of this award. The report should also describe any significant deviations from or extensions to the project described in the original proposal. Investigators will be contacted thereafter for brief annual updates on grants and publications resulting from funding under this program.

Successful awardees will not be able to be funded by another COBRE, INBRE, CTR, or other IDeA grant funding while this Pilot Award is active.  However, Pilot awardees are certainly eligible to apply for a full Project Leader position in the CBHD COBRE when such openings are announced.

Contact

Address inquiries regarding CBHD COBRE Institutional Pilot Awards to [email protected].

 

 

Calendar

  • Eugene Demidenko PhD
    Sep
    25
    12:00pm - 1:00pm

    Statistics Seminar Series | Eugene Demidenko, Ph.D.

    School of Public Health at Brown University, 121 South Main Street, Providence, RI 02912

    Eugene Demidenko, Ph.D.,
    Professor, Biomedical Data Science and Department of Mathematics
    Dartmouth College

    Talk Title: M-statistics. Optimal Exact Statistical Inference for a Small Sample

    Abstract: The talk aims to introduce a new theory for statistical science where neither mean nor variance plays a role. The current practice of statistical inference relies on asymptotic methods, such as maximum likelihood (ML). The small-sample exact statistical inference is available only for a few examples, primarily linear models. Our theory requires a statistic with a known cumulative distribution function dependent on an unknown parameter. Two parallel competing tracks of inferences are offered under the umbrella of M-statistics: maximum concentration (MC) and mode (MO) statistics, which is why M=MC+MO. Having an optimal exact dual double-sided confidence interval (CI) and test, the point estimator is derived as the limit point of the CI when the confidence level approaches zero. When a statistic is sufficient, the MO-estimator, as the limit of the unbiased CI, coincides with the ML estimator. Our theory extends to multi-parameter statistical inference.
    Novel optimal short (MC statistics) and unbiased (MO statistics) confidence intervals, dual tests with respective power functions, and point estimators are derived for major statistical parameters: standard deviation, coefficient of variation, effect size, binomial probability, Poisson rate, and correlation coefficient, among others. The R codes are readily available via GitHub at www.eugened.org.

    Light refreshments will be provided. *

    Biology, Medicine, Public Health, Research
  • Miguel Hernán
    Oct
    2
    12:00pm - 1:00pm

    Statistics Seminar and Charles K. Colver Lectureship Series | Miguel Hernán, Ph.D.

    School of Public Health, 121 South Main Street

    Miguel Hernán, Ph.D.,
    Kolokotrones Professor of Biostatistics and Epidemiology
    Harvard T.H. Chan School of Public Health

    Talk Title: AI for causal inference in health research. What can we learn from data and how much learning can we automate?

    Abstract: The tools now referred to as AI may assist, or replace, health researchers who learn from data. This talk describes a taxonomy of learning tasks in science and explores the relationship between two of them: prediction (pattern recognition) and counterfactual prediction (causal inference). Researchers predict counterfactually by using a combination of data and causal models of the world. In contrast, AI tools developed for prediction using only data are being increasingly used for counterfactual prediction. This raises questions about the meaning of the term AI, the origin of causal models, and the future of causal inference research in the health sciences.

    Light refreshments will be provided. *

    Biology, Medicine, Public Health, Research
  • Oct
    4
    11:00am - 12:30pm

    DPHB October Academic Grand Rounds

    Virtual

    The Annual Dr. Henrietta Leonard Visiting Professor Academic Grand Rounds*
    Somos Esenciales/We are Essential: Community-led and Academic Partnered Research for Advancing Mental Health Equity
    Lisa R. Fortuna, MD, MPH, MDiv
    Professor and Chair of Psychiatry and Neurosciences
    University of California, Riverside
    School of Medicine
    Wednesday, October 4, 2023◊ 11:00 am - 12:30 pm
    • PRE-REGISTRATION REQUIRED: https://cme-learning.brown.edu/DPHB-23-24
    Objectives: At the conclusion of this presentation, participants should be better able to:

    • Consider increasing opportunities for engaging with community in mental health services research and for driving health equity policy
    • Describe principles for co-design of mental health innovations, including digital interventions aimed at improving mental health disparities
    • Discuss the health equity model for designing mental health services that consider social and structural determinants of mental health
    Financial Relationship Disclosure: Dr. Fortuna has no financial relationships to disclose.
    This activity is not supported by a commercial entity ~ For more information, please contact [email protected]

    Biology, Medicine, Public Health, Psychology & Cognitive Sciences
  • Oct
    5
    8:00am - 4:00pm

    Good Clinical Practice Training

    70 Ship Street

    Advance RI-CTR is sponsoring a Good Clinical Practice Training session on Thursday, October 5th at 70 Ship Street, Providence, RI 02903. The course will be held in person from 8am-4pm.

    In this one-day certificate training, you will learn how to avoid common pitfalls in clinical investigations and how to review and carry out compliance with those regulations and expectations. Course Topics Include:

    • Systematic Overview of GCP

    • Sponsor and Investigator, Obligations in Clinical Trials

    • Form FDA 1572: The Investigator Agreement and Commitments

    • GCP Components

    • FDA Inspections and Expectations

    GCP Live training is complimentary, but investigators must apply to be considered as space is limited. Selected participants will receive a confirmation email that they are registered. Participants will receive a certificate upon completion of the training.

    Advising, Mentorship, Biology, Medicine, Public Health, Careers, Recruiting, Internships, Education, Teaching, Instruction, Research, Training, Professional Development
  • Join us for the Virtual Advance RI-CTR Introduction to NVivo Workshop (Mac Based) with Dr. Rochelle Rosen and Grace Smith.

    This workshop will be on Wednesday, October 11th from 1:00 PM to 2:00 PM with an optional Q&A from 2:00 PM to 2:30 PM. This workshop will be a general overview and introduction on the NVivo software and its potential uses. To learn more about NVivo and other qualitative resources, please go to the Advance-CTR Qualitative Research Resources page: https://advancectr.brown.edu/resources/qualitative-research-resources.

    *Note: If you have confidential study questions, please complete a service request form at https://advancectr.brown.edu/schedule-service-consultation.

    If you have any questions contact [email protected].

    Trainers: Rochelle Rosen, PhD and Grace Smith, MA

    Biology, Medicine, Public Health, Education, Teaching, Instruction, Mathematics, Technology, Engineering, Research, Teaching & Learning
  • The Advance RI-CTR Clinical and Translational Research Seminar Series showcases clinical and translational research from across Rhode Island. This series features outstanding science from expert investigators alternating with Advance RI-CTR Pilot Projects awardees sharing their early research. Seminars are held virtually on the second Thursday of each month.

    Thursday, October 12, 2023 (12:00-12:30 PM):

    Nicole James, PhD: “Unraveling the Unique Ovarian Tumor Immune Microenvironment to Uncover Novel Prognostic and Therapeutic Targets in High Grade Serous Ovarian Cancer”

    High grade serous ovarian cancer (HGSOC) is the most lethal of all gynecologic cancers. While patients typically respond well to chemotherapy, eventually their disease returns and they become unresponsive to treatment. Therefore, in order to improve patient prognosis, there is an urgent need to better understand factors that influence chemotherapy response and resistance. In recent years, efforts have focused on the development of immunotherapies, however ovarian cancer patients have been largely unresponsive to these current treatments. It has been theorized that this lack of response is due to the complex and immunosuppressive nature of the ovarian tumor immune micro-environment. Therefore, our lab is focused on understanding the unique nature of the ovarian tumor immune microenvironment to leverage novel prognostic and therapeutic markers to improve HGSOC patient clinical outcomes. In this talk, data will be presented that uncovered LAG-3 as a novel circulating immune prognostic marker or HGSOC patient survival. Furthermore, our lab’s comprehensive genomic analysis that identified amphiregulin as being significantly upregulated in HGSOC patient tissue following chemotherapy will be presented, as well as preliminary data that begins to elucidate the role that it plays in the ovarian tumor immune microenvironment.

    About Dr. James

    Dr. James is a translational scientist whose scientific career has been dedicated to ovarian cancer research. Her graduate work centered upon elucidating the role of the clinical biomarker HE4 in ovarian pathogenesis. During her postdoctoral fellowship, her work focused on tumor immune profiling. Currently her research centers upon determining the effects of targeting the protein amphiregulin in combination with standard of care chemotherapy and PD-1 based immunotherapy, as her group’s past research has demonstrated its key role in promoting pro-tumorigenic immunosuppressive pathways within the ovarian tumor micro-environment.

    Thursday, October 12, 2023 (12:30-1:00 PM):

    William Goedel, PhD: “Using Data Linkage to Describe Occupational Patterns in COVID-19 Vaccine Uptake”

    Several vaccines have proven to be effective in reducing the risk of severe outcomes related to COVID-19. However, their uptake has been uneven, with some individuals experiencing significant barriers to receiving a vaccine. While vaccine promotion efforts implemented in workplaces have been effective for health care workers, little is known about what efforts might work in other industries. This talk will present the results of analyses leveraging the Rhode Island Executive Office of Health and Human Services Data Ecosystem to understand pattern in COVID-19 vaccine uptake by occupation to inform future workplace-based vaccine promotion efforts.

    About Dr. Goedel

    Dr. Goedel is an Assistant Professor in the Department of Epidemiology at the Brown University School of Public Health. He is a social epidemiologist whose work aims to understand how policies and practices in housing, education, and labor shape the conditions of neighborhoods and how these conditions, in turn, impact the health of their residents. Much of his work is conducted collaboratively with the Rhode Island Department of Health, where he aims to develop, implement, and evaluate place-based public health programs in communities most in need. 

    Biology, Medicine, Public Health, Research
  • Spencer Kwon
    Oct
    12
    1:00pm - 2:00pm

    Carney Lunch: “Multimodality of Beliefs and Attention” - Spencer Kwon, Ph.D.

    Carney Institute, 164 Angell Street

    Title: “Multimodality of Beliefs and Attention” - Spencer Kwon, Ph.D.

    Summary: We document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis by attending “bottom up” to its salient features while neglecting other, potentially more relevant, ones. Only the statistics associated with salient features are used, others are neglected. The model unifies biases in judgments about i.i.d. draws, such as the Gambler’s Fallacy and insensitivity to sample size, with biases in inference such as under- and overreaction and insensitivity to the weight of evidence. The model makes predictions about how changes in the salience of specific features should jointly shape the prevalence of these biases and measured attention to features, but also create entirely new biases. We test and confirm these predictions experimentally. Bottom-up attention to features emerges as a unifying framework for biases conventionally explained using a variety of stable heuristics or distortions of the Bayes rule.

    Seating is limited! Please RSVP before 4:00 p.m. on October 4.

    Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join us for this 6-part series exploring implementation science, its methodology, and application. Local and national experts will share talks on implementation strategies, economic evaluation in implementation science, implementation policy, health equity, community engagement, and global implementation science.

    Tuesday, October 17, 2023:

    Laura Balis, PhD: “Integrating Physical Activity Interventions in Real-World Settings: An Introduction to ISAC (Implementation Strategies Adapted for Communities).”

    Implementation strategies have predominantly been operationalized and studied in healthcare settings. As a result, those in community settings are not fully utilizing implementation strategies to integrate evidence-based physical activity interventions and other primary cancer prevention strategies. To address this gap, adapted implementation strategy terminology and examples have been proposed. However, additional work is needed to determine which implementation strategies are most commonly used to deliver cancer prevention interventions in community settings. Dr. Balis will share results of a recent study conducted to engage community setting researchers and practitioners in developing a new compilation of implementation strategies.

    About the Speaker

    Dr. Balis is a Research Scientist at Gretchen Swanson Center for Nutrition. She earned her PhD at Virginia Tech in Human Nutrition, Foods, and Exercise with an emphasis on behavioral and implementation science. Her work focuses on implementation strategies to support the uptake of physical activity environment and policy interventions in community settings.

    Biology, Medicine, Public Health, Education, Teaching, Instruction, Psychology & Cognitive Sciences, Research, Social Sciences
  • Xinghua (Mindy) Shi, Ph.D.
    Oct
    23
    12:00pm - 1:00pm

    Statistics Seminar Series | Xinghua (Mindy) Shi, Ph.D.

    School of Public Health at Brown University, 121 South Main Street, Providence, RI 02912

    Xinghua Mindy Shi, Ph.D.,
    Associate Professor, Department of Computer and
    Information Sciences
    Institute for Genomics and Evolutionary Medicine at Temple University.

    Talk Title: Trustworthy Machine Learning for Biomedicine

    Abstract: Recent biomedical data deluge has fundamentally transformed biomedical research into a data science frontier. The unprecedented accumulation of biomedical data presents a unique yet challenging opportunity to develop novel methods leveraging artificial intelligence and machine learning to further our understanding of biology and advance medicine. In this talk, I will first introduce the cutting-edge research in characterizing human genetic variation and its functional impact within the scope of the Human Genome Structural Variation Consortium. I will then present recent development in trustworthy machine learning including our work on secure and privacy preserving machine learning for biomedicine.

    Light refreshments will be provided. *

    Biology, Medicine, Public Health, Research
  • Join us for the Advance RI-CTR NVivo Virtual Drop In Session (Mac Based) with Dr. Rochelle Rosen and Grace Smith.

    The drop-in session will be on Thursday, October 26th from 10:00 AM to 11:00 AM. This is an open session where you may ask Dr. Rosen or Grace Smith specific questions about the NVivo software and its applications to your study. 

    You can also join the drop-in session to learn from the questions asked by others. To learn more about NVivo and other qualitative resources, please go to the Advance RI-CTR Qualitative Research Resources page: https://advancectr.brown.edu/resources/qualitative-research-resources.

    *Note: If you have confidential study questions, please complete a service request form at https://advancectr.brown.edu/schedule-service-consultation.

    If you have any questions contact [email protected].

    Trainers: Rochelle Rosen, PhD and Grace Smith, MA

    Biology, Medicine, Public Health, Education, Teaching, Instruction, Mathematics, Technology, Engineering, Research, Teaching & Learning
  • Please join leaders from the National Academies of Sciences, Engineering and Medicine and the Brown STEMM community for a daylong conference discussing strategies to advance antiracism and DEI in science and medicine. Faculty, students, trainees, administrators, and alumni with an interest in DEI efforts in STEMM are encouraged to attend this free event.

    The agenda includes:

    • Presentation of the NASEM report by Joan Y. Reede, MD, MS, MPH, MBA, Dean for Diversity and Community Partnership, Harvard Medical School, and Emily A. Vargas, PhD, Program Officer, Board on Behavioral, Cognitive, and Sensory Sciences, Division of Behavioral and Social Sciences, and Education, The National Academies of Sciences, Engineering and Medicine;
    • Panel discussions with Tejal A. Desai ’94, PhD, Sorensen Family Dean of Engineering, Dean of Engineering, Professor of Engineering; Leah K. VanWey, PhD, Dean of the Faculty, Office of the Provost; Andrew G. Campbell, PhD, Professor of Medical Science, AAAS Fellow, ASCB Fellow, among other distinguished panelists;
    • Closing reception.
  • Robert Strawderman
    Oct
    30
    12:00pm - 1:00pm

    Statistics Seminar Series | Robert L. Strawderman, ScD

    School of Public Health at Brown University, 121 South Main Street, Providence, RI 02912

    Robert L. Strawderman, ScD,
    Department Chair, Donald M. Foster, MD Distinguished Professor of Biostatistics, Department of Biostatistics and Computational Biology
    University of Rochester

    Talk Title: Robust Q-learning for Dynamic Treatment Regimes

    Abstract: Q-learning is a regression-based approach that is widely used to formalize the development of an optimal dynamic treatment strategy, but is highly sensitive to the specification of finite-dimensional working models used to estimate “treatment free’’ nuisance parameters. Misspecification of these working models can lead to serious bias due to residual confounding, and may result in treatment strategies that are sub-optimal. Leveraging the power of Robinson’s transformation for partial linear models, we propose a robust (i.e., semiparametric) Q-learning approach that allows estimating such nuisance parameters using data-adaptive techniques. Methodology, asymptotics and simulations will be summarized and we highlight the utility of the proposed methods through simulation. Time permitting, data from the “Extending Treatment Effectiveness of Naltrexone” sequential, multiple assignment, randomized (i.e., SMART) trial will be used to illustrate the proposed methods. This is joint work with Ashkan Ertefaie.

    Light refreshments will be provided. *

    Biology, Medicine, Public Health, Research
  • Join us for the Virtual Advance RI-CTR Introduction to NVivo Workshop (PC Based) with Dr. Rochelle Rosen and Ryan Lantini.

    This workshop will be on Thursday, November 9th from 11:00 AM to 12:00 PM with an optional Q&A from 12:00 PM to 12:30 PM. This workshop will be a general overview and introduction on the NVivo software and its potential uses. To learn more about NVivo and other qualitative resources, please go to the Advance-CTR Qualitative Research Resources page: https://advancectr.brown.edu/resources/qualitative-research-resources.

    *Note: If you have confidential study questions, please complete a service request form at https://advancectr.brown.edu/schedule-service-consultation.

    If you have any questions contact [email protected].

    Trainers: Rochelle Rosen, PhD and Ryan Lantini, MA

    Biology, Medicine, Public Health, Education, Teaching, Instruction, Mathematics, Technology, Engineering, Research, Teaching & Learning
  • Join us for the Virtual Advance RI-CTR NVivo Virtual Drop In Session (PC Based) with Dr. Rochelle Rosen and Ryan Lantini.

    The drop-in session will be on Monday, November 20th from 12:00 PM to 1:00 PM. This is an open session where you may ask Dr. Rosen or Ryan Lantini specific questions about the NVivo software and its applications to your study.

    You can also join the drop-in session to learn from the questions asked by others. To learn more about NVivo and other qualitative resources, please go to the Advance RI-CTR Qualitative Research Resources page: https://advancectr.brown.edu/resources/qualitative-research-resources. 

    *Note: If you have confidential study questions, please complete a service request form at https://advancectr.brown.edu/schedule-service-consultation.

    If you have any questions contact [email protected].

    Trainers: Rochelle Rosen, PhD and Ryan Lantini, MA

    Biology, Medicine, Public Health, Education, Teaching, Instruction, Mathematics, Technology, Engineering, Research, Teaching & Learning
  • Anirban Bhattacharya
    Nov
    27
    12:00pm - 1:00pm

    Statistics Seminar and Charles K. Colver Lectureship Series | Anirban Bhattacharya, Ph.D.

    School of Public Health at Brown University, 121 south Main Street, Providence, RI 02912

    Anirban Bhattacharya, Ph.D.,
    Professor, Department of Statistics
    Texas A&M University

    Talk Title: TBD

    Abstract: TBD

    Light refreshments will be provided. *

    Biology, Medicine, Public Health, Research
  • Susan Murphy
    Dec
    4
    12:00pm - 1:00pm

    Statistics Seminar and Charles K. Colver Lectureship Series | Susan Murphy, Ph.D.

    School of Public Health at Brown University, 121 south Main Street, Providence, RI 02912

    Susan Murphy, Ph.D.,
    Mallinckrodt Professor of Statistics and of Computer Science,
    Associate Faculty, Kempner Institute,
    Harvard University

    Talk Title: Assessing Personalization In Digital Health

    Abstract: Reinforcement Learning provides an attractive suite of online learning methods for personalizing interventions in Digital Behavioral Health. However after an reinforcement learning algorithm has been run in a clinical study, how do we assess whether personalization occurred? We might find users for whom it appears that the algorithm has indeed learned in which contexts the user is more responsive to a particular intervention. But could this have happened completely by chance? We discuss some first approaches to addressing these questions.

    Light refreshments will be provided. *

    Biology, Medicine, Public Health, Research
  • Join us for the Virtual Advance RI-CTR Introduction to NVivo Workshop (Mac Based) with Dr. Rochelle Rosen and Gracie Smith.

    This workshop will be on Wednesday, December 6th from 1:00 PM to 2:00 PM with an optional Q&A from 2:00 PM to 2:30 PM. This workshop will be a general overview and introduction on the NVivo software and its potential uses. To learn more about NVivo and other qualitative resources, please go to the Advance RI-CTR Qualitative Research Resources page: https://advancectr.brown.edu/resources/qualitative-research-resources.

    *Note: If you have confidential study questions, please complete a service request form at https://advancectr.brown.edu/schedule-service-consultation.

    If you have any questions contact [email protected].

    Trainers: Rochelle Rosen, PhD and Grace Smith, MA

    Biology, Medicine, Public Health, Education, Teaching, Instruction, Mathematics, Technology, Engineering, Research, Teaching & Learning
  • Join us for the Virtual Advance RI-CTR NVivo Virtual Drop In Session (Mac Based) with Dr. Rochelle Rosen and Grace Smith.

    The drop-in session will be on Wednesday, December 13th from 12:00 PM to 1:00 PM. This is an open session where you may ask Dr. Rosen or Grace Smith specific questions about the NVivo software and its applications to your study.

    You can also join the drop-in session to learn from the questions asked by others. To learn more about NVivo and other qualitative resources, please go to the Advance RI-CTR Qualitative Research Resources page: https://advancectr.brown.edu/resources/qualitative-research-resources.

    *Note: If you have confidential study questions, please complete a service request form at https://advancectr.brown.edu/schedule-service-consultation.

    Please contact [email protected] with questions

    Biology, Medicine, Public Health, Education, Teaching, Instruction, Mathematics, Technology, Engineering, Teaching & Learning