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 faculty Yuanfang Guan and GuanLab member Xianghao Chen won first in the 2019 DDI National Data Science Challenge
- MIDAS Director, H.V. Jagadish, and affiliated faculty Levenstein and Hampshire, awarded NSF grant for data equity
- MIDAS core faculty, Dr. Robert Hampshire, leads a team of MIDAS faculty to receive NSF Convergence Accelerator grant
- MIDAS affiliated faculty, Dr. Mike Cafarella, receives funding from NSF’s Convergence Accelerator in Harnessing the Data Revolution
- MIDAS faculty and Co-director of U-M Precision Health Initiative Jenna Wiens publishes paper outlining responsible machine learning for healthcare