Taking place on April 6-7, 2022 in Ann Arbor, Michigan, this event offers outstanding graduate students and postdocs from 20 universities the opportunity to engage in research discussions with peers and with research leaders, and receive career mentoring, as they grow to become future research leaders in data science and Artificial Intelligence (AI). This event also features a Responsible Data Science and AI mini-symposium that is open to the public.
Theme: ” Responsible Data Science and AI”
Data science and AI are having a significant impact on society in uncountable ways, leading to huge benefits in many cases. Yet, increasingly complex analytical pipelines working with poorly understood heterogeneous data sets can give rise to harms in many ways. Furthermore, there could be deleterious systemic effects such as the magnification of disinformation or surveillance capitalism. There has been tremendous recent interest in understanding and managing these concerns. Future Leaders Summit 2022 focuses on this broad area, including:
- Systemic issues, particularly those impacting marginalized populations
- Equity and fairness, particularly in automated decision making
- Explainability of analytical results
- Reproducibility and replication of scientific results
Mini-Symposium
Time: 1:15 – 5:30 pm, April 6, 2022
Location: Forum Hall, Palmer Commons, 100 Washtenaw Avenue, Ann Arbor
Open to the public
1:15 PM – 1:20 PM
Opening Remarks
Jing Liu, Managing Director, MIDAS, University of Michigan
1:20 PM – 2:00 PM
Why Data Scientists Should Care About Data Equity
H.V. Jagadish, Director, MIDAS, University of Michigan
2:00 PM – 2:40 PM
Responsible Data Science is Equitable, Informed, and Secure
David Mongeau, University of Texas San Antonio
2:40 PM – 3:20 PM
GeoAI and Spatial Data Science: With Great Power Comes Great Responsibility
Shashi Shekhar, University of Minnesota
3:20 PM – 3:40 PM
Break
3:40 PM – 4:20 PM
When Algorithms Trade: Modeling AI in Financial Markets
Michael Wellman, University of Michigan
4:20 PM – 5:00 PM
Who Decides What Counts? AI and Big Data: Applications in Economic and Social Science Research
Frauke Kreuter, University of Maryland
5:00 PM
Panel: Research Directions and Future Breakthroughs
Panelists:
H.V. Jagadish, Director, MIDAS, University of Michigan
David Mongeau, University of Texas San Antonio
Shashi Shekhar, University of Minnesota
Michael Wellman, University of Michigan
Frauke Kreuter, University of Maryland
Roundtable: Public-Private Partnership
Time: April 7, 2022 | 1:15 PM – 2:30 PM
Location: Zoom Webinar
Open to the public
In the Pursuit of Responsible AI: Developing AI Systems for People with People
Ece Kamar, Microsoft Research and Responsible AI Office
Do the Right Thing: Our Drive for Ethical Intelligence
Brian Stucky, Director of Ethical AI team, Rocket Companies
Panel Discussion
Panelists: Ece Kamar, Brian Stucky, Frauke Kreuter, David Mongeau
Moderator: Kent Foster, Director of University Relations, Microsoft
About the Faculty Mentors
Prominent researchers from academia and industry will serve as mentors for the attendees, offering career guidance and research insight. The 2022 mentors include:
H.V. Jagadish
Professor of Computer Science and Engineering, MIDAS Director, University of Michigan
Frauke Kreuter
Professor of Survey Methodology, Director of Social Data Science Center, University of Maryland
David Mongeau
Director, School of Data Science, Professor of Practice, University of Texas at San Antonio
Shashi Shekhar
Professor of Computer Science , University of Minnesota
Michael Wellman
Professor and Chair of Computer Science and Engineering, University of Michigan
Summit Attendees
Alina Barnett, Computer Science, Duke University
Jerome Bronson, College of Health Science, School of Public Health, Jackson State University
Katherine Chang, Education Policy, Organizations, and Leadership, University of Washington
Samantha Chiu, Joint Program in Survey Methodology, University of Maryland
Bruce Corliss, School of Data Science, University of Virginia
Efren Cruz Cortes, Michigan Institute for Data and AI in Society, University of Michigan
Amanda Coston, Heinz School of Public Policy & Machine Learning, Carnegie Mellon University
Debajyoti Datta, School of Data Science, University of Virginia
Emily Diana, Wharton Statistics, University of Pennsylvania
Michael Geyer, Computer Science, University of Texas at San Antonio
Jayant Gupta, Computer Science and Engineering, University of Minnesota
Hawley Helmbrecht, Chemical Engineering, University of Washington
Ashkan Hosseinloo, Institute for Data, Systems, and Society, Massachusetts Institute of Technology
Mariah Knowles, Information School, University of Wisconsin-Madison
John Koo,Statistics, Indiana University
Subha Maity, Statistics, University of Michigan
Octavio Mesner, Statistics, University of Michigan
Karolina Naranjo-Velasco, School of Data Science, University of Virginia
David Patrick, Computer Science, University of Texas at San Antonio
Yuhan “Douglas” Rao, NC Institute for Climate Studies (NCICS), North Carolina State University
Amy Rechkemmer, Computer Science, Purdue University
Sean Sinclair, Operations Research and Information Engineering, Cornell University
Harvineet Singh, Center for Data Science, New York University
Mahmoud Junior Suleman, School of Information Technology, University of Cincinnati
Armin Thomas, Stanford Data Science, Stanford University
Danielle Tucker, Mathematics, Statistics and Computer Science, University of Illinois at Chicago
Xinru Wang, Computer Science, Purdue University
Reisa Widjaja, School of Data Science/Management Science and Statistics, University of Texas at San Antonio
Jared Willard, Computer Science, University of Minnesota
Kai-Cheng Yang, Observatory on Social Media, Indiana University