Multimodal and Interpretable AI for Flood Mapping and Management

Flooding is costly and dangerous, and while satellites can help track it, current AI flood-mapping tools are often unreliable and hard to trust. In this talk, Prof. Li will present new AI methods that make flood mapping more accurate and transparent — combining different satellite data sources, reducing the manual work needed to train these systems, and ensuring the AI's reasoning matches real flood science. The goal: AI tools that emergency responders can actually trust.

About the Presenter

Wenwen Li is a Professor of Geospatial Data Science in the School of Geographical Sciences and Urban Planning at Arizona State University, where she directs the Spatial Analysis Research Center (SPARC). Her research focuses on cyberinfrastructure, big data, and geospatial artificial intelligence (GeoAI), with applications in data- and computation-intensive environmental and social sciences, such as environmental monitoring and Arctic change, disaster management, and clean water access for underserved communities. She is the recipient of the NSF CAREER Award (2015) and the NSF Mid-Career Advancement Award (2021). In 2023, she was elected a Fellow of both the American Association of Geographers and the University Consortium for Geographic Information Science.

Register for both in-person and virtual participation.