Calendar
Harvard Catalyst Biostatistics Symposium: Data Science and Health Disparities – March 24
9:00 am – 3:30 pm
(Seven minute walk from HMS Quad)
Harvard Catalyst Biostatistics Symposium: Data Science and Health Disparities
This year’s annual symposium will focus on recent efforts by quantitative scientists to better understand the complex mechanisms that contribute to health disparities and to develop interventions to reduce or eliminate these disparities. Speakers from Harvard T.H. Chan School of Public Health, Brown University, Cornell Medical College, Drexel University, University of North Carolina at Chapel Hill, and the National Institutes of Health will describe advances that have been made as well as challenges that remain.
Please note, this is an in-person event only (there will be no option to join this symposium virtually).
Speakers:
Using Causal Diagrams to Study and Eliminate Racial Health Disparities
Chanelle Howe, PhD
Associate Professor and Doctoral Program Director, Department of Epidemiology, Brown University School of Public Health
Using Machine Learning to Increase Equity in Healthcare and Public Health
Emma Pierson, PhD
Assistant Professor of Population Health Sciences,Weill Cornell Medical College
Assistant Professor of Computer Science, Jacobs Technion-Cornell Institute at Cornell Tech
Spatially Varying Racial Inequities in Cardiovascular Health: Individual-Level Risk Factors + Neighborhood-Level Risk Factors + Structural Racism = Significant Black-White Inequities
Loni Philip Tabb, PhD
Associate Professor, Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University
Co-Lead, Research and Data Core, Urban Health Collaborative, Dornsife School of Public Health, Drexel University
Case Studies of Engaged and Participatory Data Science with Rural, Racialized Communities
Leah Frerichs, PhD
Associate Professor, Department of Health Policy and Management, University of North Carolina at Chapel Hill
Health Justice, Critical Science, and the Two-Edged Sword of Data: Structural Problems Require Structural Solutions
Nancy Krieger, PhD
Professor of Social Epidemiology, Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
American Cancer Society Clinical Research Professor, Harvard T.H. Chan School of Public Health
A Common Currency of Measurement Utilizing a Cloud Computing Platform to Foster Tech Equity & Advance Health Disparities Research
Deborah Guadalupe Duran, PhD
Senior Advisor-Data Science, Analytics and Systems
National Institute on Minority Health and Health Disparities (NIMHD)
National Institutes of Health (NIH)
Discussant comments:
S (“Subu”) V Subramanian, PhD
Professor of Population Health and Geography, Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health