The U-M plans to:
- hire 35 new faculty over the next four years and engage existing faculty across campus;
- support interdisciplinary data-related research initiatives and foster new methodological approaches to big data;
- provide new educational opportunities for students pursuing careers in data science;
- expand U-M’s research computing capacity; and
- strengthen data management, storage, analytics, and training resources.
The Data Science Initiative brings together the newly created Michigan Institute for Data Science (MIDAS), Consulting for Statistics, Computing and Analytics Research (CSCAR) and Advanced Research Computing (ARC) to provide a coordinated and comprehensive home for data science as part of Advanced Research Computing (ARC) at the University.
- MIDAS will build an interdisciplinary core faculty of 40 data scientists, and lead programs in Data Science Challenges, Data Science Education and Training, and Industry Engagement.
- CSCAR will expand its scope of consulting services to include data science support to faculty, staff and students across the University as well as the Data Science Challenge Initiatives Program.
- ARC will accelerate investments in advanced computing resources to support the growing demands for infrastructure as part of the DSI.
Please see the Data Science Initiative announcement for statements from U-M President Mark Schlissel, Provost Martha Pollack and S. Jack Hu, Interim Vice President for Research.