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.
David Lakey
The University of Texas System
Benjamin Lê Cook
Cambridge Health Alliance and Harvard Medical School
Jewel Mullen
UT System Office of Health Affairs