GeoAI: From Spatial Questions to Geospatial Intelligence (Hybrid)
Join us for a talk by Song Gao, a professor at the University of Wisconsin-Madison, "GeoAI: From Spatial Questions to Geospatial Intelligence" at 2 p.m. Wednesday, April 22 in River Road 325.
The Center for Geospatial Information Science is hosting a talk on geospatial artificial intelligence (GeoAI), a rapidly growing interdisciplinary field that combines geographic knowledge with artificial intelligence to address complex challenges in human-environmental systems and earth sciences.
The talk will be delivered by Song Gao, H.I. Romnes Named Professor of Geographic Information Science at the University of Wisconsin–Madison.
GeoAI focuses on enhancing machines’ spatial intelligence to improve perception, reasoning, GIS workflow automation, knowledge discovery and mapping of geographic phenomena. In this presentation, Gao will introduce the design of spatially explicit GeoAI models, highlight recent research on benchmarking and fine-tuning large language models as artificial GIS analysts and discuss key challenges and opportunities in advancing GeoAI for social good.
Gao is a leading scholar in geospatial data science, GeoAI and human mobility. He leads the Geospatial Data Science Lab and is affiliated with the Data Science Institute and the Department of Computer Sciences at UW–Madison. He earned his Ph.D. from the University of California, Santa Barbara and was elected a Fellow of the American Association of Geographers in 2024.
When:
to:
Where:
River Road, Room 325
Host:
Kathleen Stewart, Professor at GEOG
Speakers:
Song Gao, H.I. Romnes Named Professor in Geographic Information Science at the University of Wisconsin-Madison