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.


U-M fosters thriving artificial intelligence and machine learning research

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Research using machine learning and artificial intelligence — tools that allow computers to learn about and predict outcomes from massive datasets — has been booming at the University of Michigan.…

Video available from MIDAS Research Forum

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Video is now available from the MIDAS Research Forum held Dec. 1 in the Michigan League at The forum featured U-M students and faculty showcasing their data science research; a…

Data Science for Music Challenge Initiative RFP released

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The Data Science for Music Challenge Initiative will award four, one-year  grants of up to $75,000 each for research projects at the intersection of music and data science. A two-page…

Yottabyte Research Cloud able to accept HIPAA-aligned data

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Advanced Research Computing - Technology Services (ARC-TS) is pleased to announce that the Yottabyte Research Cloud (YBRC) computing platform is now HIPAA-compliant. This means that YBRC and its associated services…

Latest Twetter Feeds

RT @UMichiganAI:Explore the ethical implications of the #DataScience in this #MOOC available now on @coursera. 
[ARC] News + Events: Artificial intelligence and machine learning at U-M; extended deadline for MICDE Catalyst Gran… 

MIDAS Highlights

MDST Kicks Off Data Challenge with NFL’s Baltimore Ravens

Approximately 70 students attended the kickoff meeting of the NFL Free Agent Value Prediction Competition, sponsored by the Michigan Data Science Team, the Baltimore Ravens and the Michigan Sports Analytics Society (MSAS) . See the MDST website for more information.

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.

Video, slides available from 2017 MIDAS symposium

“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.

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.

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.

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.