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14 JUN 2023 (WED) 15:30-17:00


Geography Distinguished Webinars Series

Development of Spatially Explicit Methods for GeoAI

Date: 14 JUN 2023 (Wednesday)

Time: 15:30-17:00 (HKT)

Venue: Chamber, Faculty of Social Sciences, 11/F, The Jockey Club Tower, Centennial Campus, HKU

Registration link:



Geospatial artificial intelligence (GeoAI), an interdisciplinary field, merges geographic knowledge with AI techniques to address significant scientific and engineering challenges in human-environmental systems. It focuses on enhancing machines' spatial intelligence to improve dynamic perception, intelligent reasoning, and knowledge discovery of geographic phenomena. This presentation will introduce the historical roots of GeoAI, spatially explicit AI models and recent innovative GeoAI research and applications.

Dr. Song Gao

Associate Professor in Geographic Information Science, University of Wisconsin-Madison, Wisconsin

Speaker Bio:

Dr. Song Gao is an Associate Professor with tenure in Geographic Information Science at the University of Wisconsin-Madison, where he leads the Geospatial Data Science Lab. He holds a Ph.D. degree in Geography at the University of California, Santa Barbara. His main research interests include GeoAI and Human Mobility. He is the author of over 100 peer-reviewed research articles, published in prominent journals such as PNAS, IJGIS, and Annals of AAG, with 6800+ Google Scholar citations. He is the PI of multiple research grants from the National Science Foundation, Wisconsin Alumni Research Foundation, Microsoft AI for Earth, and industry partners. He currently serves as the Associate Editor of IJGIS and on the editorial boards for several international journals in GIS. Dr. Gao is the current Vice Chair of the AAG Specialty Group in GIS, the Communications Director of UCGIS, and the BOD Chair of CPGIS. He was the recipient of the Waldo Tobler Young Researcher Award in GIScience, UCGIS Early/Mid-Career Research Award, AAG Spatial Analysis & Modeling Emerging Scholar Award, and among the Web of Science Top 1% Global Highly Cited Researchers list of 2022.



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