The event will showcase the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. Attendees will build technical skills through tutorials and enjoy ample networking time. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).  Location is Michigan League & Rackham Building with virtual options to be determined.  Keynote speakers Suzanne Bakkan, Professor of Biomedical Informatics and Alumni Professor of the School of Nursing, Columbia University and David Shor, Head of Data Science at OpenLabs, a non-profit research lab using data science to provide products for progressive organizations throughout the country.

Call for Research Talks and Poster Presentations:

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. Apply here Submit Now

Presentations at the symposium should cover one or more of the following areas of Data Science:

• Theoretical foundations
• Methodology and tools
• Responsible data science and AI
• Applications of data science and AI to address significant research challenges

We invite submissions for the following:

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 and AI questions, stimulate discussions, and lay out collaboration opportunities. These talks should not simply be technical reports of projects. We especially encourage submissions from faculty, research staff and postdocs.
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.

Deadline: 11:59 pm, Sept. 23, 2022
Notification: Oct. 14, 2022