In partnership with Stanford University, MIDAS will participate in the 2017 Women in Data Science Conference, with live speakers on campus and a simulcast of the conference proceedings from Stanford.
Speakers at the U-M event include Amy Cohn (COE), Stephanie Teasley (SI), Yi Lu Murphey (ECE-Dearborn), and Yao Xie (Georgia Institute of Technology).
For more information, including registration, visit the U-M WIDS page.
Linking existing social survey data to administrative (big) data sources is a powerful way to expand the data available for sociological inquiry. This project pursues a range of different linkage projects. We will add historical Census data as well as rich data on housing from a real estate vendor to ongoing, large-scale survey studies of American families. These matched data will end up supporting exciting new opportunities for research on the long-term trends in economic wellbeing and the transmission of social inequality across generations in the United States.
MIDAS is a unit of the Office of the Vice President for Research
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