Data Science, Computing and Visualization Workshops:
Weekly at noon on Fridays; see upcoming topics
Join Advance-CTR for the next installment of our highly rated Mentoring Training Program on October 23 and 30 at the Brown University School of Public Health.
This is part one of the two part sessions. Both sessions must be completed in order to receive the certification.
Faculty who mentor junior investigators are encouraged to take advantage of this opportunity to grow as a research mentor and connect with colleagues.Participants will learn how to improve their relationships with mentees and become more effective mentors to junior investigators.
This training will be facilitated by Suzanne Colby, PhD, and Michael Mello, MD, MPH, who are trained by the National Research Mentoring Network
to facilitate this nationally recognized mentoring curriculum.
This peer-driven program expands mentors’ knowledge through exposure to the experiences of all participants. Attendees will engage with as many mentoring experiences as they would typically handle in a decade.
Faculty who mentor junior investigators who conduct clinical and translational research are encouraged to apply. Preference will be given to more senior mentors.
Learn more about the program on AdvanceCTR.org , or click the link above to register.
Open Access and Scientific Publishing The landscape of scientific publishing continues to change rapidly, particularly since the emergence of Open Access publishing models. While researchers enjoy a growing array of options to make their work available to other scientists and the general public, the proliferation of competing publishing models and venues can prove difficult to navigate.
This informational session is intended to help both new and established researchers make educated decisions when it comes time to publish their scientific reports and/or data. We will seek to define the different publishing models (e.g., paywall/toll-access and open access), subtypes of open (e.g., green, bronze, gold), evolving copyright and licensing models (e.g., Creative Commons), and manuscript/data repositories. Finally, we will highlight a list of reliable resources containing information about potential venue(s) for various research outputs, including services available to students and faculty via the Brown University Library.
We will be joined by Jason Gantenberg, MPH, PhD Candidate, School of Public Health; Erin Anthony, Biostatistics & Public Health Librarian, Rockefeller Library; and Andrew Creamer, Scientific Data Management Specialist, Rockefeller Library.
his course is designed to fulfill the NIH requirements for training in the Responsible Conduct of Research (RCR), and is coordinated by the Office of Graduate and Postdoctoral Studies (OGPS) in the Division of Biology and Medicine at Brown. The Research Integrity Series for Faculty consists of core and elective modules, with content and discussion topics aimed at more experienced scholars in the biomedical and clinical sciences.
Faculty must complete a minimum of 8 hours of in-person core and elective content in order to receive RCR certification. Faculty who began training in this course last year and have yet to complete their 8 hours may continue with this year’s series. Faculty registered for this course may apply up to 1 hr of in-person external RCR training (for example, a departmental workshop, class, or seminar relating to a topic covered in this class). Attendees must provide OGPS with verification of attendance for tracking purposes.
Registration is required to attend. More information about the trainings will be distributed prior to the event. To register, please fill out this form .
Wednesday, October 23rd, 3:30 - 5pm Dr. Audra Van Wart, Responsible Authorship and Peer Review
Wednesday, November 20th, 3:30 - 5pm Dr. Keri Godin, Research Misconduct and Brown University Policies (Note that this is one of the required trainings)
Wednesday, December 4th, 3:30-5pm Dr. Elizabeth Harrington and Dr. Audra Van Wart, Rigor, Reproducibility, and Transparency (Note that this is one of the required trainings)
SPRING Session (Dates are TBD but will include the following topics): Mentorship (2 hrs), Running a Lab, *Human Subjects/Animal Research, Data Management and Ownership
Diagnosis has always been a core part of medical care and recently it has become an important area for research as new studies highlight the frequency and importance of misdiagnosis. Along with this trend, is a rapid growth in diagnostic decision support systems. These have a long history in health informatics primarily designed for physician use, recent systems increasingly target patients. Often termed Symptom Checkers, these web based tools or mobile apps claim to assist in diagnosis and/or triage decisions. In this presentation, he will review the types of symptom checkers available, the potential benefits and risks for patients, and the surprising lack of evaluation studies and evidence of safety. He will also discuss his research in this area and upcoming studies particularly focused on heart disease and emergency care.
HAMISH FRASER, M.B.Ch.B., M.R.C.P., M.Sc., FACMI, IAHSI
Associate Professor of Medical Science, Brown Center for Biomedical Informatics, Brown University
Associate Professor of eHealth, Leeds Institute of Health Sciences, University of Leeds, United Kingdom
Dr. Fraser trained in General Medicine, Cardiology, and Knowledge-Based systems at Edinburgh University. He completed a fellowship in clinical decision making at MIT with a focus on diagnostic decision support for heart disease. His work has also focused on developing medical informatics tools for some of the most challenging environments in low income countries. As Director of Informatics at the leading Healthcare NGO Partners in Health, he co-founded and co-leads OpenMRS, an open source EMR project. He was an Assistant Professor of Medicine at Harvard Medical School from 2006-2015.
His main academic focus is in the evaluation of medical information systems and understanding the impact of information and communications worldwide. Dr. Fraser also focuses on improvement of care for non-communicable diseases, particularly heart disease. His recent work at Brown University has focused on diagnostic decision support systems for patients with heart disease and emergency care.
Data Science Computing and Visualization Workshop (DSCoV)
Want to be a software master, start a tech company, or succeed in research? Ready to get your hands dirty and learn the data science and programming skills needed to solve real-world data science problems? Come to a DSCoV workshop! Open to all members of the Brown community, these lunch-hour workshops are led by Brown faculty, staff, and students.
THIS WEEK’S TOPIC: Tensorflow on low power devices
INSTRUCTOR: Lakshmi Govindarajan
Registration is necessary; limited to 40 participants.
Friday, October 25, 12:00 PM
164 Angell Street, 4thFloor Innovation Space.
Organized by Center for Computation and Visualization
Sponsored by the DataScienceInitiative
Pizza and soda will be served.