About the 2022 Data Science and AI Annual symposium
This annual symposium is the largest annual data science and AI event on campus. 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. In addition, 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).
Head of Data Science, OpenLabs R&D
We are pleased to invite David Shor back to a larger stage following the overwhelming response to his MIDAS Seminar Series appearance preceding the 2020 election. David is the Head of Data Science at OpenLabs a non-profit research lab using data science to provide products for progressive organizations throughout the country. He previously spent seven years working at Civis as their director of Political Data Science. Prior to helping found Civis, he worked on the Obama campaign to develop their election forecasting engine the “Golden Report”.
Suzanne R. Bakken
Professor of Biomedical Informatics and Alumni Professor of the School of Nursing, Columbia University
Editor-in-Chief, Journal of the American Medical Informatics Association
We are pleased to invite Dr. Suzanne Bakken to be a keynote speaker at the 2022 Data Science and AI Symposium at the University of Michigan! The tentative title for her talk is “Advancing Discovery and Application in Health Data Science: An Editor’s Perspective.” Learn more about Dr. Bakken here.
This year’s symposium will include the following :
- U-M research vision talks
- MIDAS Propelling Original Data Science projects showcase
- Poster sessions
- Technical tutorials
- Showcase of U-M data science and AI research organizations
- Networking time
Call for Research Talks and Poster Presentations
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. Press apply now for or more instructions on submission and further details.
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:
- 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.
- 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
Communication and Media
Learning Health Sciences
Computer Science and Engineering