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.
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Focus on funding opportunities or research themes
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 (email@example.com; 734-764-2750).
The University of Michigan, Ann Arbor, seeks candidates for multiple full-time tenured or tenure-track faculty positions in the field of data science. The positions are open to candidates at all ranks and both methodological and applied areas of data science will be considered. The University is especially interested in candidates whose research interests lie in data science methodology and its application to transportation, learning analytics, personalized health and precision medicine, or computational social science.
“A Data-Driven World: Potentials and Pitfalls”
The MIDAS Annual Symposium, “A Data-Driven World: Potential and Pitfalls,” took place October 11, 2017, in Rackham Auditorium and the Michigan League. The symposium featured prominent researchers whose work is on the leading edge of innovation and discovery in data-intensive science, as well as a poster competition highlighting data science research at U-M.
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.
Presentations and posters from across campus
Interdisciplinary research, collaboration with industry, and taking advantage of the computational resources available at Michigan were some of the themes of the MIDAS Research Forum held in December 2017.
The keynote talk was given by Christopher J. Rozell, Associate Professor, Electrical and Computer Engineering, Georgia Institute of Technology.
Funding awarded in Spring 2018
The Data Science for Music Challenge Initiative distributed four, one-year grants of $75,000 each for research projects at the intersection of music and data science.