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.

WHAT’S NEW

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…

Video, slides available from U-M presentations at SC16

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Several University of Michigan researchers and research IT staff made presentations at the SC16 conference in Salt Lake City Nov. 13-17. Material from many of the talks is now available for…

U-M prepares for SC16 conference in Salt Lake City

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University of Michigan researchers and professional research IT staff will participate in the SC16 conference in Salt Lake City from Nov. 13-17 in a number of ways, including demonstrations, presentations and…

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MIDAS Seminar Series: Bing Liu, PhD. ||112/16,  4pm, Rackham Amphitheatre - https://t.co/uDWcgizBKo 
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[ARC] News + Events: Ann Almgren seminar; HPC user meeting; winter HPC maintenance, and more... - https://t.co/vPkwDN8BPC 
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RT @reddit_AMA:Join us for a discussion about the intersection of data science and privacy rights with this @UMich professor! https://t.co/lYDQGQmGvF 

MIDAS Highlights

Celebrating Claude Shannon, the Father of Information Theory

The University of Michigan is celebrating the 100th birthday of Claude E. Shannon, a U-M alum widely recognized as the father of information theory, with a Shannon Centennial Symposium on Sept. 16, 2016, and a biweekly Shannon Centennial Lecture Series during the fall 2016 semester.

Building a Community of Social Scientists with Big Data Skills

As the use of data science techniques continues to grow across disciplines, a group of University of Michigan researchers are working to build a community of social scientists with skills in Big Data through a week-long summer camp for faculty and graduate students.

Crowd in lecture hall

Video, slides available from MIDAS kickoff symposium

“The Future of Data Science: A Convergence of Academia, Industry and Government”

Top data scientists from around the country gathered in the Rackham Building on Oct. 6 for a symposium to launch the Michigan Institute for Data Science (MIDAS), the centerpiece of the University’s recently announced $100 million investment in data science. Videos are available on YouTube, and slides can be downloaded from the symposium page.

MIDAS seeks candidates for faculty positions

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.

Al Hero named Distinguished Professor

One of nine honored in spring 2016

MIDAS Co-Director, Prof. Alfred Hero III, was named a 2016 Distinguished University Professor, the University of Michigan’s top honor bestowed on faculty by the Board of Regents.  Professor Hero is now John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science, and R. Jamison and Betty Williams Professor of Engineering, professor of electrical engineering and computer science, College of Engineering; professor of biomedical engineering, CoE and Medical School; and professor of statistics, LSA.

U-M plays leading role in regional big data hub

NSF effort to catalyze data science research

A “big data brain trust” has been established by the National Science Foundation to bring together industry, government and academia to accelerate this emerging field and harness it to solve some of society’s toughest problems.

The University of Michigan will play a leading role in the new Midwest Big Data Innovation Hub—one of four that NSF has set up across the nation. U-M is one of five universities that will lead the Midwest hub. Professor Brian Athey, co-director of U-M’s Michigan Institute for Data Science, will lead the effort at U-M.