Big Data for
Health Equity

BD4HE


Advancing Big Data Methods in Population Health to Improve Health Equity


We are a collaborative of faculty, trainees, and students from universities across the U.S committed to advancing theories, methods, and findings related to the use of Big Data for health equity research. We investigate the impact of the social, cultural, and built environment on health disparities and identify levers for change. One theme of our research has been the measurement of area-level racial attitudes and quantifying its impact on health using both machine learning algorithms and qualitative approaches. An overarching objective of the group is to provide a formal space for training, mentorship, and collaboration.

Research

In development

Under review

Published works

Grant Support

This research is supported by the National Institute on Minority Health and Health Disparities and the National Library of Medicine of the National Institutes of Health under Award Number R01MD015716 (Nguyen, T, PI), R01LM012849 (Nguyen, Q., PI). We are grateful to the California Center for Population Research at UCLA (CCPR) for general support. CCPR receives population research infrastructure funding (P2C-HD041022) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).

Media Appearances

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Studying the Health Implications of Racist Tweets

news.furman.edu

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Special Issue 'Big Data for the Advancement of Health Equity'

mdpi.com

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$3.3M NIH Grant to Search for Twitter Links Between Racism, Birth Outcome

today.umd.edu

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NIH Study Funds New way to Measure Link Between Racial Inequity and Preterm Births

news.furman.edu