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.
2022 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:
- Equity and fairness, particularly in automated decision making
- Explainability of analytical results
- Reproducibility and replication of scientific results
- Systemic issues, particularly those impacting marginalized populations
Mini-Symposium
Time: 1:15 – 5:30 pm, April 6, 2022 (Open to the public)
Location: Forum Hall, Palmer Commons (100 Washtenaw Avenue, Ann Arbor)
01:15 PM – Opening Remarks
Jing Liu (Managing Director, MIDAS, University of Michigan)
01:20 PM – Why Data Scientists Should Care About Data Equity
H.V. Jagadish (Director, MIDAS, University of Michigan)
02:00 PM – Responsible data science is equitable, informed, and secure
David Mongeau (University of Texas San Antonio)
02:40 PM – GeoAI and Spatial Data Science: with Great Power comes Great Responsibility
Shashi Shekhar (University of Minnesota)
03:20 PM – Break
03:40 PM – When Algorithms Trade: Modeling AI in Financial Markets
Michael Wellman (University of Michigan)
04:20 PM – Who Decides What Counts? AI and Big Data: Applications in Economic and Social Science Research
Frauke Kreuter (University of Maryland)
05:00 PM – Panel: Research directions and future breakthroughs
All speakers
Roundtable: Public-Private Partnership
Time: 1:15 – 2:30 pm, April 7, 2022
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
Ece Kamar, Brian Stucky, Frauke Kreuter, David Mongeau
Moderator: Kent Foster (Director of University Relations, Microsoft)
Faculty Mentors & Industry Partners

H. V. Jagadish
Professor of Computer Science and Engineering, MIDAS Director
University of Michigan
H. V. Jagadish is the Director of the Michigan Institute for Data Science and Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science at the University of Michigan in Ann Arbor. Before his professorship, he was Head of the Database Research Department at AT&T Labs. Dr. Jagadish’s research focuses on two themes: the usability of database systems, query models and analytics processes to inform decision-makers, especially with big and heterogeneous data that go through many transformations; data equity systems that center around issues of representation, diversity, fairness, transparency, and validity. Dr. Jagadish is an elected ACM Fellow and AAAS Fellow. His many academic scholarship roles include establishing the ACM SIGMOD Digital Review and founding the Proceedings of the Very Large Database Endowment (PVLDB), serving on the boards of the Computing Research Association (CRA) and the Very Large Database Endowment.

Ece Kamar
Partner Research Area Manager, Technical Advisor on AI, Ethics and Effects in Engineering and Research
Microsoft Research Redmond
Dr. Ece Kamar is a Partner Research Area Manager at Microsoft Research Redmond overseeing the research on Human-centered AI. Ece serves as the Technical Advisor of Microsoft’s company-wide committee on AI, Ethics and Effects in Engineering and Research (AETHER). She is also an affiliate faculty at the University of Washington. Her research investigates research problems at the intersection of AI systems, people and our society; exploring how limitations of AI systems lead to concerns around biases, reliability and safety problems, investigating novel ways for AI systems to support people, and finally developing frameworks for human-AI teamwork for complementarity.

Frauke Kreuter
Professor of Survey Methodology, Director of Social Data Science Center
University of Maryland
Professor Frauke Kreuter is the Professor of Statistics and Data Science in Social Sciences and the Humanities at the Ludwig-Maximilians-University of Munich, Germany; Co-director of the Social Data Science Center (SoDa), and faculty member in the Joint Program in Survey Methodology (JPSM) at the University of Maryland, USA. She is an elected fellow of the American Statistical Association and the 2020 recipient of the Warren Mitofsky Innovators Award of the American Association for Public Opinion Research. In addition to her academic work, Dr. Kreuter is the Founder of the International Program for Survey and Data Science and Co-Founder of the Coleridge Initiative, whose goal is to accelerate data-driven research and policy around human beings and their interactions for program management, policy development, and scholarly purposes by enabling efficient, effective, and secure access to sensitive data about society and the economy.

David Mongeau
Director & Professor of Practice, School of Data Science
University of Texas at San Antonio
David Mongeau is Founding Director, School of Data Science and Professor of Practice, University College, at The University of Texas at San Antonio. Â He is leading the School to the forefront of data science research, education, and value creation for government, industry, and community partners. Â David was previously Executive Director, Berkeley Institute for Data Science; co-led the data analytics institute at The Ohio State University; and developed the successful proposal for a new company (Covail) launched with $42M from seven corporations to meet their advanced analytics and cybersecurity needs. Â A decade ago, David completed a career in communications, data, and networking research at Bell Labs. Â He finished while launching a global consulting practice for digital transformation and began by working on the first C++ compiler. Â David holds a BS from Carnegie Mellon University, an MS from Rensselaer Polytechnic Institute, and an MBA from the Krannert School of Management at Purdue University.

Shashi Shekhar
Professor of Computer Science
University of Minnesota
Shashi Shekhar is a leading scholar of spatial computing and Geographic Information Systems (GIS). He is a McKnight Distinguished University Professor and a Distinguished University Teaching Professor at the University of Minnesota. Dr. Shekhar’s publications include 350+ refereed papers, a Spatial Computing (MIT Press, 2020) book for professionals, a Spatial Database textbook (Prentice Hall, 2003) and an Encyclopedia of GIS (Springer, 2017). He developed core technologies which paved the way for modern navigation apps, which are used by billions of people today. His research also played a critical role in evacuation route planning for homeland security. He pioneered the research area of spatial data mining via pattern families, keynotes, surveys and workshop organization. Recognitions include IEEE-CS Technical Achievement Award, UCGIS Education Award, IEEE Fellow, AAAS Fellow and Research Partnership Award for significant impact on transportation. He is on the Computing Research Association (CRA) board and is a former President of the University Consortium for GIS (UCGIS).

Brian Stucky
Lead, Rocket Ethical AI
Rocket Companies
Brian Stucky is the Lead for Rocket Ethical AI at Rocket Central – a Detroit-based services agency dedicated to supporting the diverse business needs of our clients. This team works across all the Rocket Companies including Rocket Mortgage, the nation’s largest mortgage lender. As a long-time practitioner of Artificial Intelligence Brian has specialized in intelligent applications for financial services and mortgage lending for over 20 years.
Brian has been recognized as a thought leader in decision management, has contributed to three books, and has over 60 publications along with numerous international conference appearances. He also serves on the Residential Governance Board of the Mortgage Industry Standards and Maintenance Organization (MISMO).

Michael Wellman
Professor and Chair of Computer Science and Engineering
University of Michigan
Michael P. Wellman is Professor and Division Chair of Computer Science & Engineering at the University of Michigan. He received a PhD from the Massachusetts Institute of Technology in 1988 for his work in qualitative probabilistic reasoning and decision-theoretic planning. From 1988 to 1992, Wellman conducted research in these areas at the USAF’s Wright Laboratory. For the past 25 years, his research has focused on computational market mechanisms and game-theoretic reasoning methods, with applications in electronic commerce, finance, and cyber-security. As Chief Market Technologist for TradingDynamics, Inc., he designed configurable auction technology for dynamic business-to-business commerce. Wellman previously served as Chair of the ACM Special Interest Group on Electronic Commerce (SIGecom), and as Executive Editor of the Journal of Artificial Intelligence Research. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery.
Summit Attendees
Our attendees are outstanding graduate students and postdoctoral fellows from 20 U.S. universities.
Full Attendee List
Name | University |
Unit
|
Alina Barnett | Duke University |
Computer Science
|
Jerome Bronson | Jackson State University |
College of Health Science, School of Public Health
|
Katherine Chang | University of Washington |
Education Policy, Organizations, and Leadership
|
Samantha Chiu | University of Maryland |
Joint Program in Survey Methodology
|
Bruce Corliss | University of Virginia |
School of Data Science
|
Efren Cruz Cortes | University of Michigan |
Michigan Institute for Data Science
|
Amanda Coston | Carnegie Mellon University |
Heinz School of Public Policy & Machine Learning Department
|
Debajyoti Datta | University of Virginia |
School of Data Science
|
Emily Diana | University of Pennsylvania |
Wharton Statistics Department
|
Michael Geyer | University of Texas at San Antonio |
Computer Science
|
Jayant Gupta | University of Minnesota |
Department of Computer Science and Engineering
|
Hawley Helmbrecht | University of Washington |
Chemical Engineering / University of Washington
|
Ashkan Hosseinloo | Massachusetts Institute of Technology |
Institute for Data, Systems, and Society
|
Mariah Knowles | University of Wisconsin-Madison |
Information School
|
John Koo | Indiana University | Statistics |
Subha Maity | The University of Michigan |
Department of Statistics
|
Octavio Mesner | The University of Michigan |
Department of Statistics
|
Karolina Naranjo-Velasco | University of Virginia |
School of Data Science
|
David Patrick | University of Texas at San Antonio |
Computer Science
|
Yuhan “Douglas” Rao | North Carolina State University |
NC Institute for Climate Studies (NCICS)
|
Amy Rechkemmer | Purdue University |
Department of Computer Science
|
Sean Sinclair | Cornell University |
Operations Research and Information Engineering
|
Harvineet Singh | New York University |
Center for Data Science
|
Mahmoud Junior Suleman | University of Cincinnati |
School of Information Technology
|
Armin Thomas | Stanford University |
Stanford Data Science
|
Danielle Tucker | University of Illinois at Chicago |
Mathematics, Statistics and Computer Science
|
Xinru Wang | Purdue University |
Department of Computer Science
|
Reisa Widjaja | University of Texas at San Antonio |
School of Data Science/Management Science and Statistics
|
Jared Willard | University of Minnesota |
Computer Science
|
Kai-Cheng Yang | Indiana University |
Observatory on Social Media
|
The 2022 Future Leaders Summit is sponsored by



Have questions? Please contact midas-research@umich.edu