The Michigan Institute for Data Science (MIDAS) catalyzes data science at the University of Michigan through support for faculty, research, education and training, and industry engagement.
MIDAS regularly convenes research working groups, bringing together investigators from various fields to work on shared research issues or pending funding opportunities. Subjects include Data Integration, Mobile Sensor Analytics, Teaching Data Science, Trustworthy Data Science. For more information or to suggest a topic for a new group, contact Jing Liu, MIDAS Senior Scientist (firstname.lastname@example.org; 734-764-2750).
The event highlighted women data science researchers at U-M, and provided resources and support for women pursuing careers in data science. The keynote talk was given by Xihong Lin, Henry Pickering Walcott Professor of Biostatistics at the Harvard H.J. Chan School of Public Health.
Data Acquisition for Data Science (DADS) supports acquisition, preparation, management, and maintenance of specialized research data sets used in current and future data science-enabled research projects across U-M, with special focus on the four challenge initiative areas pursued by MIDAS: transportation science, health science, social science, and learning analytics.