2025-2026 Lecturer: Wenwen Li

Wenwen Li

Arizona State University

Biography 

Dr. Wenwen Li is a Professor in the School of Geographical Sciences and Urban Planning at Arizona State University (ASU), where she directs the Spatial Analysis Research Center (SPARC) and the Cyberinfrastructure and Computational Intelligence (CICI) Lab. Her research interests include cyberinfrastructure, big data, geospatial artificial intelligence (GeoAI), and their applications in data- and computation-intensive environmental and social sciences. Her work has led to widely used cyberinfrastructure tools (e.g., PolarHub and PolarGlobe), and conceptual advances that support climate resilience, disaster response, humanitarian aid, and clean water access in underserved communities. She has published over 120 journal articles in leading disciplinary outlets, including Proceedings of the National Academy of Sciences, Remote Sensing of Environment, Annals of the American Association of Geographers, and International Journal of Geographic Information Science.

Dr. Li has served as principal investigator (PI) or co-PI on projects totaling over $23 million in research funding, supported by the National Science Foundation (NSF), the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), the National Institutes of Health (NIH), the Department of Defense (DoD), and organizations such as Google.org. She is the recipient of the NSF CAREER Award and the NSF Mid-Career Advancement Award. Dr. Li is a Fellow of the American Association of Geographers and the University Consortium for Geographic Information Science. Her contributions to data science and informatics have also been recognized by the AGU’s Greg Leptoukh Lecturer Award and the Geological Society of America’s M. Lee Allison Award for Outstanding Contributions to Geoinformatics and Data Science.

Dr. Li holds a B.S. in Computer Science, a Ph.D. in Earth System and Geoinformation Science, and completed her postdoctoral training in Geography. Her interdisciplinary background informs a research agenda in Earth science informatics that is both methodologically innovative and societally impactful.


Abstract: Advancing Earth Science with AI: From Data Deluge to Discovery

Artificial intelligence (AI) is rapidly reshaping the landscape of Earth science, offering powerful new tools to analyze and make sense of the vast, complex, and multimodal data generated by modern Earth observation (EO) systems. However, the increasing volume, variety, and velocity of EO data pose major challenges in data discovery, integration, and interpretation. This lecture. explores how geospatial AI (GeoAI)—an emerging field at the intersection of AI, geospatial science, and informatics—is addressing these challenges. By combining deep learning, generative AI, and knowledge graphs, GeoAI is enabling more efficient environmental monitoring, cross-domain data fusion, and semantic reasoning. Case studies include applications to Arctic change detection and disaster management. Beyond technical advances, the talk highlights the growing importance of bridging informatics with domain expertise to unlock scientific insights and build a more intelligent and sustainable digital future for Earth science.