Machine Learning Day 2024

You are invited to Arizona State University’s West Valley campus for the fifth annual Machine Learning Day — an interactive hybrid event!

Machine Learning Day is a unique opportunity for scholars across Arizona and beyond to come together around this year's core thematic focus on: Research in Generative AI, Health and Machine Learning, and The Future of Education and Machine Learning across disciplinary boundaries. Researcher insights on these topics will help us develop solutions to the critical social, technical, cultural, and environmental issues facing 21st-century Arizona, ensuring sustainability. Many talks will also touch on ASU’s newest design aspiration: principled innovation, an area that Machine Learning Day has been engaging with for years. This event aims to inspire new ideas and new collaborations in machine learning research that will further the progress of ML and AI-based science.

Zoom Registration Here: https://asu.zoom.us/meeting/register/tZwtfuGsrz0tGt3-MEx2ZdLz6k5vZyYuJpta

Machine Learning Day 2024 – ASU West, La Sala Ballroom

8:50 – 9:05 a.m. – Welcome and Opening Remarks 

Dr. Vernon Morris, Associate Dean Knowledge Enterprise and Strategic Outcomes, New College of Interdisciplinary Arts and Sciences, Arizona State University

9:05 – 10 a.m. – Keynote Address

Dr. Laura Cassani, Deputy Director of the Intelligent Performance Analytics Division at Aptima – “Collaborative Frontiers: Multidisciplinary Insights in an Era of Novel Teaming”

10:10 – 11:10 a.m. –  Session 1: Generative AI

Dr. Tom Hartvigsen, Assistant Professor, School of Data Science, University of Virginia – “Keeping Language Models Up-to-date with Lifelong Model Editing”

Dr. Peter Jansen, Associate Professor, School of Information Science, University of Arizona – “DiscoveryWorld: Using Games to Evaluate Automated Scientific Discovery”

Dr. Michael Simeone, Associate Research Professor, School of Complex Adaptive Systems, Arizona State University – “Talk Title Forthcoming”

11:10 – 11:30 a.m. Coffee Break

11:30 a.m. – 12:30 p.m. –  Session 2: Health and Machine Learning

Dr. Gina Dumkrieger, Clinical Research, Mayo Health – “Machine Learning in Neurology at Mayo Clinic Arizona”

Dr. Kathleen Pine, Associate Professor, College of Health Solutions, Arizona State University – “Batman and Robin in Healthcare Knowledge Work: Human-AI Collaboration by Clinical Documentation Integrity Specialists”

Dr. Kristin Swanson, Clinical Research in Brain Cancer, Mayo Health - “Building Models of the Brain Cancer Ecosystem: Tracking Spatial and Temporal Dynamics of Tumor-Immune Interactions in Patients”

12:30 – 1:30 p.m. – Lunch | Poster Session (Open Invitation)

1:30 – 2:30 p.m. –  Session 3: Lightning Talks

Bilal Aslam, School of Informatics, Computing, and Cyber Systems, Northern Arizona University - “Satellite-Driven Traffic Volume Estimation: Harnessing Hybrid Machine Learning for Sustainable Urban Planning and Pollution Control”

Maitreya Jitendra Patel, School of Computing and Augmented Intelligence, Arizona State University - “Improving Resource Efficiency of Text to Image Generative Models”

Rezwana Islam, Mary Lou Fulton Teachers College, Arizona State University - “Chatting with AI: Implication on Education”

Ruoyao Wang, School of Information Science, University of Arizona - “Can Language Models Serve as Text-Based World Simulators?”

Nayoung Kim, School of Computing and Augmented Intelligence, Arizona State University - “Towards Fair Language Modeling using Machine Feedback”

Michael Cohen, Human Systems Engineering, Arizona State University - “Beyond Explainability: Calibrating Human Trust in AI through Interactive Cognition”

2:30 – 2:40 p.m. Coffee Break

2:40 – 3:40 p.m. – Session 4: Education and Machine Learning

Dr. Loretta Cheeks, Founder, DS Innovation – “Leveling Up Machine Learning Education for Innovation and Societal Impact or Leveling Up Machine Learning for Innovation and Societal Impact”

Dr. Jacob Greene, Assistant Professor, Department of English, Arizona State University – “Evolving Literacies: The Murky Affordances of Generative AI for Student Writers”

Dr. Sean Leahy, Research Scientist, School for the Future of Innovation in Society, Arizona State University – “Futures of Generative AI in Education: Aligned with UNESCO SDGs”     

3:40 – 3:50 p.m. – Computational Resources at ASU

Gil Speyer, Director, RTO Computational Research Accelerator

3:50 - 4:00 pm - Closing Remarks

This event is free to attend! Complimentary breakfast and lunch will be provided for in-person attendees.