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

UM-Dearborn offers new interdisciplinary data science graduate program

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Want to effectively use untapped data that is all around us—from traffic streaming data to social media data—to discover a desired solution? A new University of Michigan-Dearborn graduate program is…

U-M, SJTU research teams share $1 million for data science projects

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Five research teams from the University of Michigan and Shanghai Jiao Tong University in China are sharing $1 million to study data science and its impact on air quality, galaxy…

Call for Proposals: Amazon Research Awards, deadline 9/15/17

| Data, Educational, Funding Opportunities, News, Research | No Comments

The Amazon Research Awards (ARA) program offers awards of up to $80,000 in cash and $20,000 in AWS promotional credits to faculty members at academic institutions in North America and…

Liza Levina, PhD, Chosen IMS Medallion Lecturer in 2019

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Professor Liza Levina has been selected to present an Institute of Mathematical Statistics (IMS) Medallion Lecture at the 2019 Joint Statistical Meeting (JSM). Each year eight Medallion Lecturers are chosen from…

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We've added more #CSCAR workshops to our fall schedule. Take a look. https://t.co/Ka0khwRRXq 
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RT @Ronald_vanLoon:Understand these 5 basic concepts to sound like a machine learning expert | #DataScience #MachineLearning #RThttps://t.co/gCLd3duEna 
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RT @math_rachel:Google Brain is ~94% male and >70% white, and OpenAI appears even less diverse. Here's why diversity in AI matters: https://t.co/i4vIt1Gpd6 

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.