Please note: The MIDAS website will be down for maintenance from 8:30 to 9:30 a.m., Thursday, July 19, 2018.

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 researchers’ papers accepted at ACM KDD data science conference in London

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Several U-M faculty affiliated with MIDAS will participate in the KDD2018 Conference in London in August. The meeting is held by the Associate for Computing Machinery's Special Interest Group in…

Dinov article: Building consensus on data science education and training

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Dr. Ivo Dinov, professor of Computational Medicine and Bioinformatics, Human Behavior, and Biological Science, and associate director of MIDAS, recently published an article on the training and education curricula needs…

Deep learning in pharmacogenomics: from gene regulation to patient stratification

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MIDAS-affiliated researchers recently published a review of current and future applications of deep learning in pharmacogenomics. Title: Deep learning in pharmacogenomics: from gene regulation to patient stratification Published in: Pharmacogenomics, April…

U-M, MIDAS researchers supported by Chan Zuckerberg Initiative

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Several University of Michigan researchers, including faculty affiliated with MIDAS, recently received support from the Chan Zuckerberg Initiative under its Human Cell Atlas project. The project seeks to create a…

All ARC websites will be down for maintenance 8:30 – 9:30 a.m. on Tuesday, July 17, 2018

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All Advanced Research Computing at U-M (ARC) websites will be down for scheduled maintenance from 8:30 to 9:30 a.m. on Tuesday, July 17, 2018. This applies to: The Michigan Institute…

MIDAS researchers’ papers accepted at ACM KDD data science conference in London

| General Interest, Happenings, News, Research | No Comments
Several U-M faculty affiliated with MIDAS will participate in the KDD2018 Conference in London in August. The meeting is held by the Associate for Computing Machinery's Special Interest Group in…

Dinov article: Building consensus on data science education and training

| Research | No Comments
Dr. Ivo Dinov, professor of Computational Medicine and Bioinformatics, Human Behavior, and Biological Science, and associate director of MIDAS, recently published an article on the training and education curricula needs…

STATCOM featured in American Statistical Association magazine

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The U-M Statistics in the Community (STATCOM) group was recently featured in AMSTATNEWS, the magazine of the American Statistical Association. Read the article at https://magazine.amstat.org/blog/2018/04/01/statcom-universities/. STATCOM is supported in part by…

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RT @BloodFlowSim:Congratulations to @FediCuomo for taking first place in the PhD student paper competition at the @WCB2018 for her p… https://t.co/FydVmIFlb1 

MIDAS Highlights

MIDAS working groups foster cross-disciplinary collaboration

Focus on funding opportunities or research themes

MIDAS regularly convenes research working groups, bringing together investigators from various fields to work on shared research issues or pending funding opportunities.

Subjects include Data Integration, Mobile Sensor Analytics, Teaching Data Science, Trustworthy Data Science.

For more information or to suggest a topic for a new group, contact Jing Liu, MIDAS Senior Scientist (ljing@umich.edu; 734-764-2750).

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.

Video, slides available from 2017 MIDAS symposium

“A Data-Driven World: Potentials and Pitfalls”

The MIDAS Annual Symposium, “A Data-Driven World: Potential and Pitfalls,” took place October 11, 2017, in Rackham Auditorium and the Michigan League. The symposium featured prominent researchers whose work is on the leading edge of innovation and discovery in data-intensive science, as well as a poster competition highlighting data science research at U-M.

Data Acquisition for Data Science

Data Acquisition for Data Science (DADS) supports acquisition, preparation, management, and maintenance of specialized research data sets used in current and future data science-enabled research projects across U-M, with special focus on the four challenge initiative areas pursued by MIDAS: transportation science, health science, social science, and learning analytics.

Forum features data science research at U-M

Presentations and posters from across campus

Interdisciplinary research, collaboration with industry, and taking advantage of the computational resources available at Michigan were some of the themes of the MIDAS Research Forum held in December 2017.

The keynote talk was given by Christopher J. Rozell, Associate Professor, Electrical and Computer Engineering, Georgia Institute of Technology.

Data Science for Music

Funding awarded in Spring 2018

The Data Science for Music Challenge Initiative distributed four, one-year  grants of $75,000 each for research projects at the intersection of music and data science.