U-M Annual Data Science & AI Summit 2022

Nov. 14-15, 2022
Rackham Building, 915 E Washington St, Ann Arbor

About the 2022 Data Science and AI Summit

The annual Summit (previously known as the annual Symposium) is the largest annual data science and AI event on campus. The event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases 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. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).

Schedule Keynote Speakers Research Talks Poster Session PODS Showcase AI in Science Talks

Schedule

Monday, November 14

9:00 am: Welcome Remarks – Dr. H. V. Jagadish (Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor of Computer Science and Engineering; MIDAS Director)

9:10 am: Keynote: Advancing Discovery and Application in Health Data Science: An Editor’s Perspective – Dr. Suzanne 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)

10:30 am: Program Kick-Off – Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a Schmidt Futures Program. This new campus-wide program will train 60 postdocs in the next six years and, with the postdoc program at the core, build momentum for the campus research community and external collaborators to use AI methods for breakthroughs in science and engineering research.

12:20 pm: Lunch and Poster Session – Showcasing a wide range of data science and AI research projects and grassroots data science and AI organizations

2:00 pm: Research Talks Session 1 – U-M faculty members’ research visions.

4:00 pm: Showcase of U-M data science and AI research organizations

Session Chair:

Jing Liu (MIDAS Managing Director; Schmidt AI in Science Program co-Director)

Presentations:

Michigan AI Lab Rada Mihalcea, Janice M Jenkins Collegiate Professor of Computer Science and Engineering and Professor of Electrical Engineering and Computer Science
E-Health and Artificial Intelligence Akbar Waljee, Professor of Internal Medicine, Medical School Henrike Florusbosch, Program Manager, Medical School
University of Michigan Software and Data Carpentries Patrick Schloss, Program Director of Microbiology and Immunology AP&A, Frederick G Novy Collegiate Professor of Microbiome Research and Professor of Microbiology and Immunology, Medical School
Michigan Institute for Computational Discovery and Engineering Krishna Garikipati, Professor of Mechanical Engineering, Center Director, Michigan Institute for Computational Discovery and Engineering Research, and Professor of Mathematics Karthik Duraisamy, Professor of Aerospace Engineering
University of Michigan Precision Health Sebastian Zoellner, John G Searle Associate Professor of Biostatistics, Professor of Biostatistics, and Professor of Psychiatry, Medical School
Consulting for Statistics, Computing and Analytics Research Kerby Shedden, Professor of Statistics, Professor of Biostatistics, and Center Director, Statistical Consultation and Research
Bold Challenges Dawn Tilbury, Associate Vice President for Research-Convergence Science, Ronald D and Regina C McNeil Department Chair of Robotics, Herrick Professor of Engineering, Professor of Robotics, Professor of Mechanical Engineering, and Professor of Electrical Engineering and Computer Science Arthur Lupia, Gerald R Ford Distinguished University Professor of Political Science, Professor of Political Science, Research Professor, Center for Political Studies, Institute for Social Research and Center Director, UMOR Office of the Vice President for Research
Center for Ethics, Society, and Computing Sophia Brueckner, Associate Professor of Art and Design, Associate Professor of Information, and Associate Professor of Digital Studies Institute
Digital Studies Institute Germaine Halegoua, John D Evans Development Professor, Associate Professor of Communication and Media, Associate Professor in the Digital Studies Institute and Director Graduate Studies, Digital Studies Institute
Science, Technology and Public Policy Program Molly Kleinman, Assistant Director, Ford School of Public Policy

5:30 pm: Reception and Networking – All attendees are invited. Come and talk with U-M data science and AI organizations, researchers, and students, as well as industry and public-sector partners.

Tuesday, November 15

9:00 am: Keynote: Data Science and American Politics – Mr. David Shor (Head of Data Science, OpenLabs R&D)

10:00 am: Research Talks Session 2 – U-M faculty members’ research visions.

11:35 am: Propelling Original Data Science (PODS) Grant Awards Showcase – Each year, MIDAS funds a number of innovative and high-impact data science and AI research projects. The project teams will give the audience an overview of their work.

12:35 pm: Poster Awards Announcement (posters with students as first authors are entered automatically in the poster competition for cash awards)

12:40 pm: Closing Remarks – Dr. H. V. Jagadish (Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor of Computer Science and Engineering; MIDAS Director)

12:45 pm: Light Lunch and Networking – All attendees invited.