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

ARC-TS seeks input on next generation HPC cluster

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The University of Michigan is beginning the process of building our next generation HPC platform, “Big House.”  Flux, the shared HPC cluster, has reached the end of its useful life….

Job Opening: Research Cloud Administrator

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Advanced Research Computing – Technology Services (ARC-TS)  has an exciting opportunity for a Research Cloud Administrator. This position will be part of a team working on a novel platform for research…

HPC training workshops begin Monday, May 15

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A series of training workshops in high performance computing will be held May 15, May 17 and May 24, 2017, presented by CSCAR in conjunction with Advanced Research Computing – Technology…

New private insurance claims dataset and analytic support now available to health care researchers

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The Institute for Healthcare Policy and Innovation (IHPI) is partnering with Advanced Research Computing (ARC) to bring two commercial claims datasets to campus researchers. The OptumInsight and Truven Marketscan datasets…

Latest Twetter Feeds

ARC_UM @ARC_UM
ARCatUM  @ARC_UM
breakout sessions starting now at Big Data in Transportation symposium at the Michigan Union- check out lineup here: https://t.co/zWlmGwULfK 
ARCatUM  @ARC_UM
Or just come on over to the Michigan Union for the afternoon session, starting with a panel from industry… https://t.co/TlQV6n8q6F 

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.