Seminar Description

In the wake of the police killings of Breonna Taylor, George Floyd, and countless others and the inequitable burden of COVID-19–related morbidity and mortality on the Black community, the impact of centuries of racism in America have finally been laid bare on a national stage. In our roles as clinicians, scientists, researchers, and policymakers, it is imperative that we acknowledge that the only way to close the racial gap in health outcomes is by identifying, confronting, and abolishing racism, including in our data and analysis.

This is the first of three discussion seminars to allow more in-depth discussion of the many issues brought up at the inaugural seminar in this series on Anti-racism in Data and Analysis, "Can Data Be Racist?" in November 2020. We will break into small groups to discuss issues with race-adjustment and the thoughtful use and interpretation of race in future work.

Participants are expected to read Dr. Boyd et al's recent Health Affairs article, "On Racism: A New Standard for Publishing on Racial Health Inequities" and to watch a 30-minute introduction, prepared by Sarah B. Andrea, Ph.D. M.P.H., ahead of the seminar.

Article can be found here. 
View the 30-minute introduction here.

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