Dr. Song Gao | April 22, 2:00 - 3:00 PM | River Road 325
Join us at River Road (Room 325) on April 22nd at 2:00 PM for in-person guest seminar with Dr. Song Gao, an associate professor at the University of Wisconsin-Madison. Explore how AI is transforming geographic information science, geospatial data analytics, and real-world decision-making.
GeoAI: From Spatial Questions to Geospatial Intelligence
Geospatial artificial intelligence (GeoAI), a fast-growing interdisciplinary field, integrates geographic knowledge with AI techniques to address scientific challenges in human-environmental systems and earth sciences. It focuses on enhancing machines' spatial intelligence to improve perception, reasoning, GIS workflow automation, knowledge discovery, and mapping of geographic phenomena. This talk will introduce the design of spatially explicit GeoAI models, recent research on benchmarking and fine-tuning large language models (LLMs) for artificial GIS analyst, as well as addressing some of challenges and issues associated with GeoAI for social good.
Meet The Speaker!
Dr. Song Gao is an H.I. Romnes Named Professor in Geographic Information Science at the University of Wisconsin-Madison, where he leads the Geospatial Data Science Lab. He is also an affiliated faculty member of the Data Science Institute and the Department of Computer Sciences. He received his PhD degree from the University of California, Santa Barbara. He was elected as a Fellow of the American Association of Geographers (AAG) in 2024. His main research interests include Geospatial Data Science, GeoAI and Human Mobility. He is the lead editor of the GeoAI Handbook and his works were published in prominent journals such as Science, PNAS, Nature Communications and IJGIS. He is the PI of multiple research grants from the NSF, Wisconsin Alumni Research Foundation, Microsoft AI for Earth, Google DeepMind and other industry partners. He currently serves as the Associate Editor of International Journal of Geographical Information Science (IJGIS). Dr. Gao was the recipient of the UCGIS Early/Mid-Career Research Award and among the Web of Science Top 1% global highly cited researchers list.
