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)

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.  He is leading the School to the forefront of data science research, education, and value creation for government, industry, and community partners.  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.  A decade ago, David completed a career in communications, data, and networking research at Bell Labs.  He finished while launching a global consulting practice for digital transformation and began by working on the first C++ compiler.  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