Women in Data Science Conference — Feb. 3, Michigan League

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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.

Undergrad Research Opportunity: Linking Survey and Big Data

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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.

U-M professors and students develop app to help Flint residents identify lead risks

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A mobile app and website built for the city of Flint is available now to help the community and government agencies manage the ongoing water crisis.

Mywater-Flint, for Android and online at Mywater-flint.com, was developed by computer science researchers at the University of Michigan’s Flint and Ann Arbor campuses and funded by Google.org. Through it, residents and city employees can:

  • Access a citywide map of where lead has been found in drinking water.
  • Discover where service line workers have replaced infrastructure that connects. homes to the water main, and where they’re currently working.
  • Locate the nearest distribution centers for water and water filters.
  • Find step-by-step instructions for water testing.
  • Determine the likelihood that the water in a home or another location is contaminated, among other features.