Day 1
8:30 AM – 8:45 AM
Registration and Check-in
Check in early! The first 150 registrants to check in will receive special MIDAS swag.
8:45 AM – 9:00 AM
Opening Remarks
Rebecca Cunningham, Vice President Emerita for Research; William G. Barsan Collegiate Professor of Emergency Medicine, University of Michigan
Dr. H. V. Jagadish, Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor of Computer Science and Engineering; MIDAS Director
8:45 AM – 9:00 AM
Keynote Speaker – Suresh Venkatasubramanian, Director, Center for Technological Responsibility, Reimagination, and Redesign, Data Science Institute at Brown University; Professor of Data Science and Computer Science, Brown University; Former Asst. Dir for Science and Justice, White House Office of Science and Technology Policy
Responsible AI: From a Conference Workshop to the White House
Session Chair: Karandeep Singh, Associate Professor of Learning Health Sciences, Internal Medicine, Urology, and Information; Associate Chief Medical Information Officer of Artificial Intelligence, Medical School
10:00 AM – 11:10 AM
Propelling Original Data Science (PODS) Grant Awards Showcase
The MIDAS Propelling Original Data Science (PODS) grant strongly encourages works that transform research domains through data science and AI, works that improve the reproducibility of research, and works that promise major impact and potential for significant expansion.
Detecting and Countering Untrustworthy Artificial Intelligence (AI) Through AI Literacy
Presented by Nikola Banovic
Machine-Processing of Graduate Student Applications for Diversity, Equity, and Inclusion
Presented by Wenhao Sun and Dallas Card
A Data Science Toolkit for Examining Local Governance
Presented by Justine Zhang and Yanna Krupnikov
From Ground to Air, and the Traveler Experiences In-between: Human-centered Data-driven Performance Measures for Multimodal Transportation Systems
Presented by Atiyya Shaw and Max Li
Interpretable Machine Learning to Identify Tumor Spatial Features From Longitudinal Multi-modality Images for Personalized Progression Risk Prediction of Poor Prognosis Head and Neck Cancer
Presented by Lise Wei and Liyue Shen
MI-SPACE: Multiplex Imaging based Spatial Analysis for Discovery of Cellular Interactions in the Tumor Microenvironment
Presented by Maria Masotti
Foundations of Sequence Models for Learning, Estimation, and Control of Dynamical Systems
Presented by Samet Oymak and Necmiye Ozay
Neural Quantum States at Scale: Applications in Sciences and Engineering
Presented by Shravan Veerapaneni and James Stokes
Bayesian Modeling of Multi-source Phenology to Forecast Airborne Allergen Concentration
Presented by Kai Zhu and Kerby Shedden
11:10 AM – 12:10 PM
Research Vision Talks – Session 1
Data Science / AI and Societal Impact
Session Chair: Kai Zhu, Associate Professor of Environment and Sustainability, School for Environment and Sustainability and Associate Professor of Ecology and Evolutionary Biology, College of Literature, Science, and the Arts
Data for Urban Sustainability – The Good, The Bad, and The Ugly
Presented by Benjamin Goldstein, Joshua Newell, and Dimitrios Gounaridis
Proactive Policing as Reinforcement Learning
Presented by Tian An Wong
Personalized Medicine Discovery Through Machine Learning
Presented by Donglin Zeng
12:10 PM – 1:45 PM
Lunch, Networking, Poster Session and Poster Lightning Talks
Showcasing a wide range of data science and AI research projects and grassroots data science and AI organizations.
1:45 PM – 2:45 PM
Keynote Speaker – Julianne Dalcanton, Director, Center for Computational Astrophysics, Flatiron Institute
Making Sense of a Complicated Universe
Session Chair: Lia Corrales, Assistant Professor of Astronomy, College of Literature, Science, and the Arts
2:45 PM – 4:00 PM
Research Vision Talks – Session 2
Methodology and the Physical Sciences
Session Chair: Elle O’Brien, Lecturer III in Information and Research Investigator, School of Information
Using Galaxy Shapes to Develop a Debiasing Framework for Deep Learning
Presented by Christopher J Miller, Esteban Medina, and Guillermo Cabrera
Differentiable Physics
Presented by Venkat Viswanathan
Multimodal Learning from the Bottom Up
Presented by Andrew Owens
4:00 PM – 5:30 PM
University of Michigan Data Science and AI Organizations Showcase
Session Chair: Jing Liu, Executive Director, MIDAS
View RecordingMichigan AI Lab
Christina Certo, Program Manager of Strategic Initiatives in AI
E-Health and Artificial Intelligence
Henrike Florusbosch, Program Manager, e-HAIL
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
Michigan Institute for Computational Discovery and Engineering
Vancho Kocevski, Managing Director, MICDE
Michigan Center for Applied and Interdisciplinary Mathematics (MCAIM)
Daniel Forger, Director, MCAIM; Robert W. and Lynn H. Browne Professor in Science, Professor of Mathematics and Research, and Professor of Computational Medicine and Bioinformatics
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
Carol Janney, Data Science / CSCAR Consultant
Bold Challenges
Kelsey Ebbs, Assistant Director, Bold Challenges
Center for Ethics, Society, and Computing
Patricia Garcia, Assistant Professor of Information, School of Information and Assistant Professor of Digital Studies Institute, College of Literature, Science, and the Arts
Digital Studies Institute
Ellie Abrons, Associate Professor of Architecture, A Alfred Taubman College of Architecture and Urban Planning; Director, Digital Studies Institute and Associate Professor in the Digital Studies Institute, College of Literature, Science, and the Arts
Science, Technology and Public Policy Program
Julie Berson, Education Program Manager, STPP, Ford School of Public Policy
5:30 PM – 6:45 PM
Reception and Networking
All attendees welcome*. Come and talk with U-M data science and AI organizations, researchers, and students, as well as industry and public-sector partners.
*Note: we are not able to permit undergraduate students to attend the reception.
Day 2
8:45 AM – 9:55 AM
Keynote Speaker – Emre Kiciman, Senior Principal Researcher, Microsoft Research
A New Frontier at the Intersection of Causality and LLMs
9:55 AM – 11:20 AM
Research Vision Talks – Session 3
Data Science / AI for Human Health
Session Chair: Alex Gorodetsky, Assistant Professor of Aerospace Engineering, College of Engineering
Barriers to Data Science Adoption Scientific Research
Presented by Elle O’Brien and Jordan Mick
How is Surgical Training Like a Computer Adaptive Test?
Presented by Andrew Krumm
One Science Fits Most: How Statistical Models Can Uncover the Ecology of Cancer and the Pathology of Climate Change
Presented by Michele Peruzzi
Discovering Markers and Mechanisms of Mental Disorders with natural Language Processing and Daily Thought Sampling
Presented by Chandra Sripada
11:20 AM – 12:45 PM
Panel Discussion: Federal Priorities in Data Science and AI and Academic Research Opportunities
Moderator: H. V. Jagadish, Director, Michigan Institute for Data Science; Edgar F Codd Distinguished University Professor of Electrical Engineering and Computer Science; Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science
Panelists:
Laura Biven, Data Science Technical Lead, Office of Data Science Strategy, National Institutes of Health
Andrew Carney, Program Manager, Advanced Research Projects Agency for Health (ARPA-H)
Michael Molnar, Director, Advanced Manufacturing National Program Office, National Institute of Standards and Technology
Hector Muñoz-Avila, Program Director and Cluster Lead, the Information Integration and Informatics Program, National Science Foundation
Alvaro Velasquez, Program Manager, Information Innovation Office, Defense Advanced Research Projects Agency
12:45 PM – 12:50 PM
Poster Awards and Closing Remarks
12:50 PM – 2:00 PM
Light lunch and networking
All attendees welcome.
12:50 PM – 2:00 PM
Special Session: From Guidelines to Outcomes – A brainstorming session on implementing AI for your organization
While AI brings unprecedented potential to transform work, life and society, a major challenge facing organizations in the public sector, industry and academia is how to turn such potential into reality. As we explore the many uses of AI and the ethical AI principles, what technical capabilities, tools and processes are essential for an organization to implement AI in ethical ways and align with its mission to achieve optimal outcomes? In this brainstorming session co-hosted by MIDAS and Rocket Companies, we invite leaders and technical personnel from industry, government, non-profit organizations and academia to discuss roadblocks and seek solutions together.
Questions? Contact Us.
Message the MIDAS team: [email protected]