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MIDAS Funding for Innovative Data Science

A primary mission of the University of Michigan Institute for Data Science (MIDAS) is to foster innovative and groundbreaking multi-disciplinary research in data science.  MIDAS is pleased to announce our next round of funding for innovative data science. MIDAS plans to fund research in the broad area of data science, including:

  • Developing the theoretical foundations of data science;
  • Developing data science methodology and tools;
  • The innovative application of data science methods in any research area;
  • Examining and managing the implications of data science for society and the public interest;
  • Especially encouraged are proposals that combine a data science methodology component and
    a clear research question.

We are particularly interested in funding pioneering work based on innovative concepts that promises high reward, major impact, promotion of public interest, and potential for major expansion. In other words, we aim to fund “disruptive” instead of incremental research.

Award Information: 10 – 12 projects will be awarded at up to $75K each, for a duration of 12-18 months, based on a competitive process.  No cost-sharing is required from the investigators or their units. All projects should be collaborative and interdisciplinary, with faculty from at least two departments/research units.

Who May Apply: Principal Investigators (PIs) and co-PIs should be faculty members at the University of Michigan (Ann Arbor, Dearborn, or Flint campus).  An individual may participate as PI/co-PI on only one proposal.  Co-investigators, consultants and other personnel are not limited by this restriction.

Important Dates:
May 1, 2019: proposals due
June 15, 2019: awards announced
August 1, 2019: projects start

How to Apply:
Applications should be submitted through

Proposal content:

  • Project description, up to 4 pages, in Arial with minimum font size 10. This should include Specific Aims, background, significance and innovation, methods, and future plans. Most importantly, a description of why this project is “pioneering work based on innovative concepts that promises high reward, major impact, and potential for major expansion”;
  • A Statement of Societal Impact (up to ½ page) that describes how this project will benefit the society, and, if any, potential negative impact that needs to be carefully avoided.
  • References (no page limit);
  • Two-page biosketch in NSF or NIH format for each PI, co-PI and senior personnel;
  • A detailed budget and budget justification.

Review criteria

  • Innovative concept and/or approach;
  • The significance of the research questions;
  • Multi-disciplinary collaboration;
  • Likelihood of success;
  • Impact to the research field;
  • Broad impact to UM data science research community.

Post-award expectations

  • PIs, co-PI’s and senior investigators are expected to become MIDAS affiliate members.
  • All teams will be expected to participate in MIDAS activities that build UM data science community and strengthen data science research.
  • All publications from this award should acknowledge MIDAS.
  • For questions, please contact

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