Our inaugural seminar addressed the state of the science on implicit bias training effectiveness and the factors associated with successful training. Scholars with expertise in implicit bias training or related diversity training program effectiveness reviewed varying models for combatting implicit bias and discussed the success of these.
Presentation Materials and Meeting Recording
Marie A. Bernard, M.D.
Marie A. Bernard, M.D., is NIH Chief Officer for Scientific Workforce Diversity.
Albert Avila, Ph.D.
Albert Avila, Ph.D., is the Director of the National Institute on Drug Abuse (NIDA), Office of Diversity and Health Disparities (ODHD) and Deputy Director of the NIDA Office of Research Training (ORT).
Charlotte Pratt, Ph.D.
Charlotte Pratt, Ph.D., is Deputy Branch Chief, Division of Cardiovascular Sciences and Program Officer in Clinical Applications and Prevention at the National Heart, Lung, and Blood Institute (NHLBI).
Frank Dobbin, Ph.D.
Frank Dobbin, Ph.D., is Henry Ford II Professor of the Social Sciences and Chair of the Department of Sociology at Harvard University.
Markus Brauer, Ph.D.
Markus Brauer, Ph.D., is a Professor in the Department of Psychology and the Wisconsin School of Business at the University of Wisconsin-Madison.
Molly Carnes, M.D.
Molly Carnes, M.D., is the Virginia Valian Professor of Medicine, Psychiatry and Industrial & Systems Engineering at the University of Wisconsin-Madison where she directs the Center for Women’s Health Research in the School of Medicine and Public Health and co-directs the Women in Science and Engineering Leadership Institute (WISELI) in the College of Engineering.
Robert Sellers, Ph.D.
Robert Sellers, Ph.D., is Vice Provost for Equity and Inclusion, Chief Diversity Officer, and the Charles D. Moody Collegiate Professor of Psychology and Education at the University of Michigan.
Shelley Correll, Ph.D.
Shelley Correll, Ph.D., is the Michelle Mercer and Bruce Golden Family Professor of Women’s Leadership at Stanford University and the co-founder and director of the Stanford VMware Women’s Leadership Innovation Lab.