GeoAI and Deep Learning Symposium: Whether and How GeoAI will Transform Geospatial Research

Type: Panel
Theme:
Sponsor Groups: Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Poster #:
Day: 4/5/2019
Start / End Time: 1:10 PM / 2:50 PM
Room: Washington 6, Marriott, Exhibition Level
Organizers: Wenwen Li, Song Gao, Yingjie Hu
Chairs: Wenwen Li

Call for Submissions

GeoAI and Deep Learning Symposium: Whether and how will AI transform geospatial research? (Panel Session, Contact: Michael F. Goodchild, good@geog.ucsb.edu)


Description

In today’s era of big data, advanced algorithms, and immense computational power, artificial intelligence (AI) is bringing tremendous opportunities and challenges to geospatial research. Big data enable computers to observe and learn the world from many angles, while high performance machines support the training development and application deployment of AI models within reasonable amount of time. Recent years have witnessed significant advances in the integration of geography and AI in both academia and industry, and the outcome is an exciting and interdisciplinary area-- GeoAI. There have already been many successful studies. Focusing on modeling the physical nature, a recent publication in PNAS has shown that deep learning can improve the representation of clouds that are smaller than the grid resolutions of climate models. Examining the human society, AI and natural language processing methods, such as word embeddings, are helping quantify changes in stereotypes and attitudes toward women and ethnic minorities over 100 years in the United States. There are also many other applications that effectively integrate AI with problems in geospatial studies, such as vehicle trajectory prediction, indoor navigation, historical map digitizing, gazetteer conflation, geographic feature extraction, geo-ontologies, and place understanding.

Building on the great success of the 1st symposium in AAG 2018, we are organizing the 2nd AAG Symposium on GeoAI and Deep Learning for Geospatial Research focusing on the current status, recent advances, and possible future directions of this exciting research theme at the 2019 AAG Annual meeting, April 3-7, Washington DC. We aim to bring together geographers, GI scientists, spatial modeling experts, computer scientists, spatial data scientists, epidemiologists, urban planners, transportation professionals, and many others to discuss this rapidly developing research frontier. In particular, we hope to provide a venue for researchers from all geospatial disciplines to start the dialog on how to fertilize this exciting field of GeoAI, how can we better prepare our students with essential knowledge and skills, and how can we foster cross-discipline collaborations.


Agenda

Type Details Minutes
Panelist Yu Liu Peking University 17
Discussant Michael Goodchild University of California 17
Panelist Shawn Newsam University of California, Merced 17
Panelist Amin Tayyebi Esri 17
Panelist John Wilson University Of Southern California 16
Panelist Samantha Arundel Center of Excellence in Geographic Information Science - U.S. Geological Survey 16

To access contact information login