Data-Driven Strategies for Advancing Health Equity

It’s not hard to look at the data on health outcomes and identify stark disparities in race, gender, geography, and orientation. Disparities are everywhere. What is hard, but absolutely essential, is finding ways to use data to develop and guide programs to reduce those inequities. In this session, three national experts who work at the intersection of big data, health and racial inequity will look at what’s already being done, what questions remain unanswered, and where to go from here.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

photo of David Lakey
David Lakey

The University of Texas System

photo of Benjamin Lê Cook
Benjamin Lê Cook

Cambridge Health Alliance and Harvard Medical School

photo of Jewel Mullen
Jewel Mullen

UT System Office of Health Affairs

Primary Access
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Secondary Access
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