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.


Workshops on Algorithms for Modern Massive Data Sets — June 21-24, Berkeley

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Registration for the 2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016) is now available. In addition to four days of talks on algorithmic and statistical aspects of…

Environmental Data Commons Workshop — June 9, Chicago

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The Center for Data Intensive Science at the University of Chicago is hosting a one day workshop in Chicago on June 9, 2016 on environmental data commons and data sharing….

New graduate course offering: “Methods and Practice of Scientific Computing”

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The Michigan Institute for Computational Discovery and Engineering (MICDE) is pleased to announce “Methods and Practice of Scientific Computing”, the first graduate course designed and organized by MICDE faculty. The course…

Krishna Garikipati appointed Director of MICDE

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Statement from S. Jack Hu, U-M Vice President for Research: I’m very pleased to announce that Prof. Krishna Garikipati (Mechanical Engineering and Mathematics) has been appointed the new Director of…

Latest Twetter Feeds

Job opening at ARC: Research Cloud Solutions Designer 
U-M, SJTU symposium: Data Sciences for Sustaining Critical Infrastructures for Environment & Human Health 4/21 

MIDAS Highlights

Summer camp preview image

MIDAS Summer Camp

Open to high school students

Titled “From Simple Building Blocks to Complex Shapes: A Visual Tour of Fourier Series,” will run from July 18 – 22, 2016, and is open to any high school students.

Interest in mathematics and art is strongly encouraged; experience with trigonometry recommended. The camp will be full day, and attendance is expected all five days. There is no fee to attend and lunch is provided. Contact the organizers at for more information.

Claude Shannon, the Father of Information Theory

“Claude Shannon is the founder of the theory of information and communication. These contributions were singularly important in that they led directly to the digital revolution that powers our electronic world,” says Alfred Hero, the R. Jamison and Betty Williams Professor of Engineering at U-M and co-director of the Michigan Institute for Data Science. Read more.

Round 2 Challenge Funding Open

RFPs available

Requests for proposals in Data Science for Health Science (download RFP) and Social Science (download RFP) have been released.

For details, visit the RFP page.

Up to $10M of funding will be awarded to proposals in these Challenge Thrusts based on a competitive process involving submission of a white paper, followed by invitation to submit a full proposal. A total of 8 proposals will be funded at a level of approximately $1.25M each. A successful research proposal will involve a multi-disciplinary team engaged in research that will both have disruptive impact on a relevant thrust application and significantly advance the methodological foundations of data science. The ultimate intent of the MIDAS challenge initiatives is to stimulate research activities that can be leveraged into successful external funding proposals from government, private foundations, or industry.

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.

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.