Save the Date: November 15th – 16th, 2021

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Call for Mini-Workshop Proposals and Research Presentations

The Michigan Institute for Data Science (MIDAS) invites submission of 1) abstracts for presentations and 2) proposals for workshops, for the 2021 U-M Data Science Symposium that will take place on Nov. 15-16.  

As the focal point of data science and AI at U-M, MIDAS facilitates the work of the broad U-M data science community, advances cross-cutting data science methodologies and applications, promotes the use of data science to benefit society, and develops partnerships with industry, academia and community. The annual symposium showcases the breadth and depth of U-M data science, shares research ideas that will lead to the next breakthroughs, and builds collaboration.  

Presentations at the symposium should cover one or more of the following areas of data science:

  • Theoretical foundations
  • Methodology and tools
  • Real-world application in any research domain 
  • The ethics and societal impact of data science and AI
  • Creative and artistic applications of data science and AI
  • Emerging areas of data science and AI

We invite submissions for the following:

  1. Proposals for mini-workshops. The symposium will include  3-6 mini-workshops (parallel sessions). Each workshop will be two hours long.  These workshops can be research dialogues on a focused theme, hands-on tutorials or hack sessions, led by U-M researchers. Proposals should include the theme, format, organizer and potential presenters, as well as how the proposed mini-workshop brings out the strengths across multiple U-M research units and benefits the U-M data science research and/or to the larger community. If your theme is selected, the symposium program committee will work with you to finalize the plan, and MIDAS will provide logistics support.

The themes of 2020 mini-workshops (Afternoon of Nov. 10) are good examples. But we encourage you to be creative and not be limited by these examples. Previous presenters are welcome to submit proposals with new or revised ideas.

If you would like to discuss your mini-workshop idea with the symposium committee before submission, please email Jing Liu, MIDAS Managing Director (,

  1. Abstracts for Research Talks (20 minutes including Q&A).  The talks should discuss exciting research ideas, provide vision and context for challenging data science questions, stimulate discussions, and lay out collaboration opportunities. These talks should not simply be technical reports of projects. Independent researchers are especially encouraged to submit abstracts for talks.
  2. Abstracts for Posters. The Posters can be used as technical reports of projects.  Posters with students as first authors will be automatically entered in the poster competition.


Mini-workshop proposal submission: 11:59 pm, July 30, 2021; notification: Aug. 20, 2021
Talks and posters abstract submission: 11:59 pm, Sept. 24, 2021; notification: Oct. 15, 2021

Submission Instructions

  • At least one author/presenter should have a U-M affiliation.
  • Please do not include figures, tables or bibliography in the abstract.  
  • To submit proposals for mini-workshops: 
    • Please include a title, list of organizers/potential presenters and their affiliations.
    • The main body of the submission should be no more than 300 words.  
    • Please include the theme, format, how it features the strengths from multiple U-M research units, and its benefits to the U-M research community and / or to the general audience.
    • Please indicate the desired upper limit of the number of audience.
  • To submit abstracts for research talks and posters:
    • Please include a title, list of authors/presenters and their affiliations.  
    • The main body of the submission should be no more than 300 words. 
    • For research talks, please include a brief summary of the research idea and its context, methods and impact, and how it can benefit from collaboration.
    • For posters, please include a brief summary of the research, methods, main results, and impact.

For questions, please contact

Program Committee

Libby Hemphill
School of Information

Justin Johnson
Computer Science and Engineering

Sophia Brueckner
Stamps School of Art & Design

Jing Liu

Christopher Miller

Lilli Zhao

Prasad Shankar

James Walsh