Artificial Intelligence and Deep Learning Symposium: Whether and how will AI transform geospatial research I

Type: Panel
Sponsor Groups: Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Poster #:
Day: 4/12/2018
Start / End Time: 5:20 PM / 7:00 PM
Room: Grand Ballroom A, Astor, 2nd Floor
Organizers: Wenwen Li
Chairs: Michael Goodchild


Recent years have witnessed significant advancements in deep learning, machine learning, as well as many other artificial intelligence (AI) techniques (e.g., ontologies, Linked Data, and knowledge graphs). The new methods and techniques brought by these advancements are transforming geospatial research in a variety of areas. For example, recent studies have shown deep learning techniques coupled with volunteered geographic information (such as OpenStreetMap data) can accurately extract buildings from satellite images for humanitarian mapping. Artificial intelligence methods are also enabling self-driving cars and intelligent transport system by analyzing large amounts of geographic information gathered by traffic cameras and sensors in real time. Many machine learning techniques have facilitated natural language processing, and have helped discover new knowledge from geotagged texts. Advances in knowledge representation and ontology engineering gave birth to novel applications in geographic information retrieval and intelligent search. There also exist many other applications of AI in geospatial research, such as spatial diffusion prediction in epidemiology, urban expansion analysis, and hyperspectral image analysis. In this context, we organize a special symposium focusing on the current status, recent advances, and possible future directions of this exciting research theme at the 2018 AAG Annual meeting, April 10-14, New Orleans, Louisiana. We aim to bring in geographers, spatial modeling experts, computer scientists, spatial data scientists, epidemiologists, urban planners, transportation professionals, and many others to discuss this rapidly developing research frontier.


Type Details Minutes
Panelist Piotr Jankowski San Diego State University 15
Panelist Budhendra Bhaduri Oak Ridge National Laboratory 15
Panelist Shawn Newsam University of California, Merced 15
Panelist Alexander Fotheringham Arizona State University 15
Panelist May Yuan University of Texas - Dallas 15
Panelist Mark Gahegan University of Auckland 15

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