Day 1 – Tuesday, March 18
Expanding the Limit of the Human Scientists
Session Chair: Jing Liu, Executive Director, Michigan Institute for Data and AI in Society
Keynote Speaker – Mario Krenn, Research Group Leader of the Artificial Scientists Lab, Max Planck Institute for the Science of Light
Towards an Artificial Muse for New Ideas in Science
AI Journey Presentations
Untangling Galaxy Evolution with AI
Presented by Christopher Miller
Learning Deep Low-dimensional Models from High-Dimensional Data: From Theory to Practice
Presented by Qing Qu
Large Language Models, Deep learning and Radiomics for Survival Prediction of Bladder Cancer Patients
Presented by Lubomir Hadjiyski
Revolutionizing African Great Lakes Management: AI for Smart Monitoring, and Data-Driven
Presented by Grite Nelson Mwaijengoa
12:30 PM – 2:30 PM
Working Lunch (Concurrent Sessions)
Faculty Brainstorming Session
Conceptual Topics
Faculty members will discuss their ideas with the group on using AI to address research questions and developing AI for research applications. They will also connect with collaborators. Below are some example prompts, but the specific focus of the sessions will be determined by participant interest.
- Methods to address issues of research rigor and reproducibility, and the validation and explainability of research output.
- Domain research questions that can be facilitated through the use of AI.
- AI methods that could be particularly amenable to science and engineering research.
- Connecting data and AI.
Open to all U-M faculty members by registration in advance
Invited faculty only – Hussey Room
AI Tutorial
An Introduction to Generative AI Tools for Research
James Boyko, Ecology and Evolutionary Biology, U-M College of Literature, Science, and the Arts
Open to All Attendees – Michigan League Ballroom
Trusting AI-accelerated Research
Session Chair: J.J. Park, Assistant Professor of Electrical Engineering and Computer Science, College of Engineering
Keynote Speaker – Pat Langley, Principal Research Scientist, Georgia Tech Research Institute
Integrated Systems for Computational Scientific Discovery: Progress, Challenges, and Implications
AI Journey Presentations
Towards Interpretable Machine Learning Models Across the Geosciences
Presented by Fraser King
Confronting the Challenges of AI-assisted Infectious Disease Transmission Modeling Outside the ML ‘Black Box’
Presented by Jon Zelner
A Mechanistic Neural Network Model Optimizes both the Potency and Toxicity of Combination Therapies
Presented by Harkirat Singh Arora
Graph Theory Toolbox for AI/ML Design of Complex Biomimetic Nanostructures
Presented by Nick Kotov
Day 2 – Wednesday, March 19
Global Collaboration
Session Chair: Alex Gorodetsky, Assistant Professor, Department of Aerospace Engineering
Keynote Speaker – Nyalleng Moorosi, Senior Researcher, Distributed AI Research Institute (DAIR)
Moving Away From Imaginary Worlds for People in the Global South
AI Journey Presentations
Can LLMs and AI agents accelerate real-world adoption of scientific evidence?
Presented by Geoffrey Siwo
The African Academy of Sciences (AAS)
Presented by Nkem Khumbah
Bridging Innovation and Equity: How the African Union is driving AI for Sustainable Development in Africa
Presented by Barbara Glover
All You Need Is Community!
Presented by Abiodun Modupe
12:30 PM – 2:30 PM
Working Lunch (Concurrent Sessions)
U-M Resources Session
U-M Campus Resources & Faculty Implementation Pitches
U-M researchers – Hussey Room
AI Tutorial
Segment Anything Model: A Beginner’s Guide to AI-Powered Image Segmentation
Nathan Fox, MIDAS, U-M Office of the Vice Provost of Research
Open to All Attendees – Michigan League Ballroom
The Nature of Scientific Creativity
Session Chair: Elle O’Brien, Lecturer IV in Information and Research Investigator, School of Information
Keynote Speaker – Lav R Varshney, Associate Professor, University of Illinois Urbana-Champaign
AI and Scientific Creativity
AI Journey Presentations
Lessons from a human-in-the-loop machine learning approach for identifying vacant, abandoned, and deteriorated properties in Savannah, Georgia
Presented by Xiaofan Liang
Designing an AI Model to Predict Financial Operational and Supply Chain Risk from Water Scarcity in Global Corporate Facilities
Presented by Peter Adriaens
Navigating Environmental Data: Unsupervised Classification in Oceanic and Atmospheric Research
Presented by Dani Jones
CHATAC: An Air Traffic Flow Management LLM-powered System
Presented by Max Li
