A “big data” approach to understanding neighborhood effects in chronic illness disparities
In the United States, race and ethnicity, place of residence, and socioeconomic status—which includes income, education, and employment—predict health and illness. Independent, negative health effects are more likely to afflict those who live in areas where a large proportion of residents are socioeconomically disadvantaged.
With funding from the Social Sciences Annual Institute (SSAI), a joint initiative of the U-M Office of Research and Rackham Graduate School, and from the MCubed Diamond initiative, this project will address challenges associated with gathering and analyzing large, diverse population health data sets.
Start date: 5/1/2015
End date: 4/30/2016
Office of Research and Rackham Graduate School Social Sciences Annual Institute award, University of Michigan: $49,777
The Social Sciences Annual Institute, a joint initiative of the Office of the Vice President for Research and the Rackham School of Graduate Studies, supports social science research that crosses traditional disciplinary boundaries and advances innovation in the social sciences. SSAI provides seed funds to support research that is not yet likely to be funded through traditional channels.
This project has been approved for additional funding from the MCubed Diamond program. MCubed Diamond is funded by The Alfred P. Sloan Foundation and the Gordon and Betty Moore Foundation as part of the Science of Data Science (SODS) project. The goal of SODS is to advance the state of data science and build institutional capacity to support it.