What We Do
The findings of this study will be useful to policymakers based on a careful analysis of demographic, attitudinal, and experiential factors in association with enrollment in, attrition from, and graduation from MD/PhD-degree programs. Potential targets for interventions aimed at increasing the demographic diversity of the physician-scientist workforce engaged in biomedical research will be identified.
Individuals from the following have participated:
Biotech companies across the US
Medical private practices across the US
Brown University School of Medicine
Loma Linda University School of Medicine
NIH/Oxford/Cambridge MD-PhD Partnership Program
Northwestern University School of Medicine
Ohio State University
Oregon Health and Science University
Quillen College of Medicine of East Tennessee State University
Tufts University School of Medicine
University of Alabama School of Medicine
University of California-Davis
University of California-Los Angeles
University of California-San Francisco
University of Cincinnati
University of Colorado Health Sciences Center
University of Pittsburgh School of Medicine
University of Texas Health Sciences Center in Houston
University of Texas Health Sciences Center in San Antonio
University of Vermont
US Food and Drug Administration
Wake Forest University School of Medicine
Washington University in St. Louis
Weill Cornell Medical College
Publications of interest:
Identifying at-risk medical students (JAMA, 2010): The relationship between increasing numbers and diversity of medical school enrollees and the US physician workforce size and composition has not been described.
External Partners: Heather D. Wathington, Dorothy Andriole, M.D. and Donna Jeffe, Ph.D.
Robert H. Tai Research Group
The Robert H. Tai Research Group is a research team based at the School of Education and Human Development at the University of Virginia. This multi-institutional team conducts quantitative and qualitative research on major issues in Science Education. The overarching goal is to produce robust empirical data that targets national policy, with the outcome of developing science students into productive and contributing scientists.