U-M plays leading role in regional big data hub

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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.

“We’re thrilled to be a part of this effort, and are looking forward to establishing dynamic partnerships that will coordinate big data expertise and resources to improve the region’s quality of life,” said Athey, who is the Michael Savageau Collegiate Professor and chair of the Department of Computational Medicine & Bioinformatics in the U-M Medical School and also a professor of psychiatry and internal medicine.

These hubs aim to develop partnerships that will use big data to address region-specific problems. Athey will lead a subgroup of the Midwest Hub that will address health sciences. H.V. Jagadish, U-M professor of electrical engineering and computer sciences, will lead a subgroup on transportation.

The Midwest Hub will focus its efforts in three areas:

  • Society, including smart cities and communities; network science; and business analytics
  • The natural and built world, including water, food and energy; digital agriculture; transportation; and advanced manufacturing
  • Health care and biomedical research

Other universities involved in the Midwest Hub are Illinois, Indiana, North Dakota and Iowa State. Partners include the city of Detroit, Ford Motor Co., General Motors, Domino’s Pizza, TechTown Detroit, Quicken Loans and the Henry Ford Health System.

The NSF award provides $1.25 million to set up the framework for bringing partners together to develop, plan and support regional big data partnerships and activities to address regional challenges.

“The Big Data Hubs program represents a unique approach to improving the impact of data science by establishing partnerships among like-minded stakeholders,” said Jim Kurose, NSF’s head of Computer and Information Science and Engineering. “In doing so, it enables teams of data science researchers to come together with domain experts, with cities and municipalities, and with anchor institutions to establish and grow collaborations that will accelerate progress in a wide range of science and education domains with the potential for great societal benefit.”

For more information:

Midwest Big Data Hub

Michigan Institute for Data Science

Midwest Big Data Hub press release from the University of Illinois

NSF press release

RFPs available for MIDAS Challenge Thrust awards

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The Michigan Institute for Data Science (MIDAS) is pleased to announce the first competition for MIDAS Challenge Thrust awards. These awards are intended to stimulate research in key areas identified at the recent symposium and will lay the foundation for future funding from government, private foundations, or industry.

Requests for Proposals (RFPs) are available for awards in Learning Analytics and Data Science for Transportation. Up to two projects will be funded at a level of approximately $1.25 million each in both of these Challenge Thrust areas.

View the Requests for Proposals here.

White papers describing project goals and teaming arrangements are due November 30, 2015, and full proposals are due January 18, 2016. Awards will be announced on February 15, 2016.

Successful research projects will cut across disciplines, have the potential for disruptive impact in the field, and hold promise for advancing the methodological foundations of data science. Interested researchers can learn more about these two MIDAS Challenge Thrust areas and connect with potential collaborators at four upcoming town hall meetings.

Learning Analytics

  • Wednesday, October 21, 2015, 5:00 p.m. – 6:30 p.m., 1109 François-Xavier Bagnoud  (FXB) Building
  • Tuesday, November 17, 2015, 5:00 p.m. – 6:30 p.m., Kalamazoo Room, Michigan League

Data Science for Transportation

  • Thursday, October 22, 2015, 5:00 p.m. – 6:30 p.m., 1311 EECS
  • Tuesday, November 10, 2015, 5:00 p.m. – 6:30 p.m., Rackham Amphitheater

RFPs for the MIDAS Challenge Thrust awards in the Social Science and Health Science areas will be released in early 2016.

For more information, email midas-rfp@umich.edu or visit midas.umich.edu/rfp.

 

Michigan State University hosting two-day workshop on data science and computation — Sept. 16-17

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To inaugurate its new Department of Computational Mathematics, Science and Engineering (CMSE), Michigan State University is holding a two-day workshop titled “Frontiers in Data Science and Computation.”

The workshop will take place at the Kellogg Center at MSU in East Lansing on Sept. 16 and 17. The workshop will bring together speakers who are intellectual leaders in computational science and their application to interesting scientific problems. The areas of focus will be topics in scientific computing and Data Science, their applications, challenges and open problems

Scheduled speakers on Sept. 16, focusing on scientific computing:

  • James Amundson, Head, Scientific Software Infrastructure Department; Fermi National Accelerator Laboratory
  • George Biros, Professor, Mechanical Engineering; W. A. “Tex” Moncrief, Jr. Simulation-Based Engineering Science Chair; University of Texas (UT)
  • Richard Brower, Professor, Physics, and Electrical & Computer Engineering; Boston University
  • Keith Cartwright, Research Physicist; Sandia National Laboratories
  • Bjorn Engquist, Director, ICES Center for Numerical Analysis; UT
  • Jeff Hittinger, Group Leader, Center for Applied Scientific Computing; Lawrence Livermore National Laboratory
  • George Em Karniadakis, Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics; Brown University
  • Eric Michielssen, Professor, Electrical Engineering; Assoc. VP for Advanced Research Computing; University of Michigan

Scheduled speakers on Sept. 17, focusing on data science:

  • Chidanand (Chid) Apte, Director, Mathematical Sciences and Analytics; IBM Research Division
  • Gunnar Carlsson, Anne and Bill Swindells Professor of Mathematics; Stanford University; co-founder, Ayasdi
  • Vanja Dukic, Associate Professor, Applied Mathematics; University of Colorado Boulder
  • Piotr Indyk, Professor, Theory of Computation Group, Computer Science and Artificial Intelligence Laboratory; MIT
  • Mario Juric, Washington Research Foundation Data Science Professor of Astronomy; University of Washington
  • Mauro Maggioni, Professor, Mathematics and Computer Science, and Electrical and Computer Engineering; Duke University
  • Jianchang (JC) Mao, Distinguished Engineer, Head of Advertising Relevance & Revenue and Marketplaces Development; Microsoft
  • Wotao Yin, Professor, Department of Mathematics; UCLA

For more information and to register, visit www.egr.msu.edu/fcds2015/