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 to host faculty meeting on NSF BIGDATA solicitation

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The Michigan Institute for Data Science (MIDAS) will hold a faculty meeting at noon on Thursday, January 19 (Suite 7625, School of Public Health I, 1415 Washington Heights) for the NSF 17-534 “Critical Techniques, Technologies…

ARC Director Sharon Broude Geva elected vice-chair of Coalition for Academic Scientific Computing

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Sharon Broude Geva, the Director of Advanced Research Computing at the University of Michigan, has been elected vice-chair of the Coalition for Academic Scientific Computation (CASC). Founded in 1989, CASC advocates for…

Women in Data Science Conference — Feb. 3, Michigan League

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In partnership with Stanford University, MIDAS will participate in the 2017 Women in Data Science Conference, with live speakers on campus and a simulcast of the conference proceedings from Stanford….

Undergrad Research Opportunity: Linking Survey and Big Data

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Linking existing social survey data to administrative (big) data sources is a powerful way to expand the data available for sociological inquiry. This project pursues a range of different linkage…

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[ARC] News + Events: Sharon Broude Geva elected as CASC vice-chair; MIDAS & MICDE seminar series; Women in Data.. - https://t.co/HEVTmkLL3G 
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RT @rgoodspeed:Live now--Dimitris Papanikolaou's talk about on-demand mobility & land use: https://t.co/GIiLFIuHGI @ARC_UM 
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TODAY - MIDAS Seminar Series: Dimitris Papanikolaou, DDes ||1/13/17,  4pm, Forum Hall, Palmer Commons - https://t.co/woKqf9XxfN 

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.

Video, slides available from 2016 MIDAS symposium

“Advancing Science, Changing the World”

Top data scientists from around the country gathered in Ann Arbor for the second annual MIDAS symposium. The event featured U-M faculty presenting information on projects that received funding through the MIDAS Challenge Initiative, and a student poster session.

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.