Human Mobility Analytics and Geoprivacy Issues on Using Location Big Data


Mencoff Hall 205

Song Gao, Associate Professor of Geographic Information Science, University of Wisconsin-Madison

Abstract: The increasing use of location-based services has generated large-scale location data through mobile phone tracking, wearable sensors, GPS devices, and social media. These location big data provide new opportunities to study multiscale human mobility patterns and human-place interactions, which are important in transportation management, public health, business intelligence and many other domain applications. It also introduces grand challenges regarding the protection of geoprivacy and broader ethical and policy implications. In this talk, I will present our latest research efforts on human mobility analytics and protecting user location privacy using various GeoAI approaches.

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. in Geography from the University of California, Santa Barbara. His main research interests include Geospatial Data Science, GeoAI and Human Mobility. He is the (co-)author of over 100 peer-reviewed research articles, published in prominent journals such as PNAS, IJGIS, and Annals of AAG, with 6000+ Google Scholar citations. He is the (co-)PI of multiple research grants from the National Science Foundation, Wisconsin Alumni Research Foundation, Microsoft AI for Earth, and industry partners, etc. 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 and on the Board of Directors at the AAG Specialty Group in GIS, the Communications Director of UCGIS, and the President of CPGIS. He was the recipient of the 2022 UCGIS Early/Mid-Career Research Award and among the Web of Science Top 1% global highly cited researchers list of 2022. 

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