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

MIDAS Challenge Initiative Awards featured on Xconomy news website

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The Xconomy.com website has featured transportation data science projects awarded funding under the first round of the MIDAS Challenge Initiatives. College of Engineering Prof. Pascal Van Hentenryck and Carol Flannagan of…

Toyota Materials Handling North America seeks proposals for University Research Program in supply chain, logistics and material handling — Aug. 31 submission deadline

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Toyota Materials Handling North America is accepting proposals for sponsored research under its University Research Program, which aims to “drive the next generation of technology for the entire supply chain, logistics…

Ivo Dinov interviewed by NOVA/PBS

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Ivo Dinov was interviewed by NOVA/PBS to discuss a recent PNAS Report identifying significant potential shortfalls of Big Data functional magnetic resonance imaging (fMRI) studies, of which there may be over 35,000 in…

Transportation Research Board symposium on transformational technologies — Oct. 31-Nov. 1, Detroit

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The Transportation Research Board (TRB) of the National Academies of Science, Engineering, and Medicine is sponsoring the “Partners in Research Symposium: Transformational Technologies” on October 31-November 1, 2016, in Detroit,…

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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.