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.


ARC websites will be down briefly for emergency maintenance

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For approximately 10 minutes between 5 p.m Friday, Oct. 21 and 4 p.m. Saturday, Oct. 22, the ARC websites, including MICDE, MIDAS, ARC-TS and CSCAR, will be down for emergency…

Research highlights: A new era in disaster research

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By Bob Brustman, U-M Civil and Environmental Engineering Department University of Michigan researchers have received a $2.5 million NSF grant to develop a computational model that is hoped to significantly…

HPC User Meetups set for October, November and December

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Users of high performance computing resources are invited to meet ARC-TS HPC operators and support staff in person at an upcoming user meeting: Monday, October 17, 1:10 – 5 p.m., 2001 LSA Building (500 S. State…

MIDAS co-sponsoring Transportation Research Board’s Transformational Technologies symposium — Oct. 31 & Nov. 1 in Detroit

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This symposium will bring together leaders from the public and private sectors and academia to meet the challenges posed by deployment of transformational transportation technologies. MIDAS affiliated faculty members Carol…

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Robert Groves, Sudip Bhattacharjee will give keynote talks at 2016 MIDAS Symposium 

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.