AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS
Description
The National Science Foundation (NSF) has recently funded the Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE, http://iguide.illinois.edu) as part of the NSF’s Harnessing the Data Revolution Big Idea initiative (https://www.nsf.gov/news/special_reports/big_ideas/harnessing.jsp). This symposium explores theories, concepts, methods, and tools focused on data-intensive geospatial understanding for driving innovative artificial intelligence (AI) and cyberGIS (geographic information science and systems based on advanced cyberinfrastructure) approaches to address the world’s pressing resilience and sustainability challenges such as biodiversity, food security, water security, and public health.
At the AAG 2022 annual meeting, the Symposium on Data-Intensive Understanding in the Era of AI and CyberGIS will be held by building on the successes of previous Symposia focused on cyberGIS and geospatial data science at AAG annual meetings since 2011. A suite of paper and panel sessions will address cutting-edge advances of cyberGIS, geospatial AI and data science, and fundamental geospatial understanding derived from spatial and spatiotemporal data synthesis. The topical themes of the symposium will include, but are not limited to, frontiers of cyberGIS, geospatial AI and data science, data-intensive geography, high-performance computing approaches to geographic problem solving, computational reproducibility and replicability for data-intensive geospatial understanding, geographic approaches to resilience and sustainability challenges enabled by AI and cyberGIS, human-centered decision making, and challenges and opportunities of education and workforce development in harnessing the geospatial data revolution.
Sponsorship (Incomplete)
Cyberinfrastructure Specialty Group (CISG), Geographic Information Science and Systems (GISS) Specialty Group, and Spatial Analysis and Modeling (SAM) Specialty Group
Panel Sessions (Incomplete)
- Convergence of CyberGIS and Geospatial AI
- Harnessing the Geospatial Data Revolution for Advancing Sustainability Sciences
- Data-Intensive Geospatial Understanding: Foundations and Fundamentals
- CyberGIS-enabled spatial epidemiology
- Human-centered spatial decision support systems
- Reproducibility and Replicability in Geography
Paper Sessions (Incomplete)
- Advanced CyberGIS
- Geospatial Artificial Intelligence and Deep Learning
- Data-Intensive Spatial Modeling for Complex Geographic Problems
- GeoAI – Intelligent Geospatial Analytics
- GeoAI and CyberGIS for Advancing Spatial Decision Making
- Explainable AI in Geography
- Data-Intensive Geography
- CyberGIS and High-Performance Geospatial Computing
- Education Advances and Challenges
- Computation and Uncertainty of Spatial Accessibility
- Harnessing Mobility Data for Spatial Knowledge Discovery
- Urban Visual Intelligence
- GeoAI for Social Sensing
- GeoAI in Remote Sensing
- Applications of Geo-Big Data and Geoinformatics in Transportation and Social Science
If you are interested in organizing any sessions or panels as part of the Symposium, please contact Rebecca Vandewalle via rcv3@illinois.edu. To present a paper in any of the Symposium sessions, please register and submit your abstract online, and email your abstract code, paper title, and abstract rcv3@illinois.edu by the AAG submission deadline (October 28, 2021). We look forward to your submissions and participation!
Co-Chairs (Incomplete)
- Rebecca Vandewalle, University of Illinois Urbana-Champaign
- Shaowen Wang, University of Illinois Urbana-Champaign
- Zhe Zhang, Texas A&M University
Organizing Committee (Incomplete)
- Luc Anselin, University of Chicago
- Marc Armstrong, the University of Iowa
- Peter Atkinson, Lancaster University
- Budhendra L. Bhaduri, Oak Ridge National Laboratory
- Ling Bian, University at Buffalo
- Christopher Brunsdon, Maynooth University
- Guofeng Cao, University of Colorado, Boulder
- Xiang Chen, University of Connecticut
- Alexis Comber, the University of Leeds
- Fabio Duarte, Massachusetts Institute of Technology
- A. Stewart Fotheringham, Arizona State University
- Jing Gao, University of Delaware
- Song Gao, University of Wisconsin – Madison
- Daniel Goldberg, Texas A&M University
- Michael Goodchild, University of California, Santa Barbara
- Joseph Holler, Middlebury College
- Yingjie Hu, University at Buffalo
- Xiao Huang, University of Arkansas
- Myeonghun Jeong, Chosun University
- Nattapon Jaroenchai, University of Illinois Urbana Champaign
- Jeon-Young Kang, Kongju National University, South Korea
- Yuhao Kang, University of Wisconsin-Madison
- Peter Kedron, Arizona State University
- Karen K. Kemp, University of Southern California Dornsife
- Mei-Po Kwan, The Chinese University of Hong Kong
- Wenwen Li, Arizona State University
- Xiao Li, Texas A&M Transportation Institute
- Zhenlong Li, University of South Carolina
- Steven Manson, University of Minnesota, Twin Cities
- Alexander Michels, University of Illinois at Urbana-Champaign
- Harvey Miller, the Ohio State University
- Shawn Newsam, University of California, Merced
- Huan Ning, University of South Carolina
- Anand Padmanabhan, University of Illinois Urbana-Champaign
- Ed Parsons, Google
- Jinmeng Rao, University of Wisconsin-Madison
- Martin Raubal, ETH Zurich
- Sergio J. Rey, University of California Riverside
- Shih-Lung Shaw, University of Tennessee Knoxville
- John W.Z. Shi, The Hong Kong Polytechnic University
- Xun Shi, Dartmouth College
- Eric Shook, University of Minnesota, Twin Cities
- Renee Sieber, McGill University
- Diana Sinton, UCGIS
- Xiaopeng Song, Texas Tech University
- Kathleen Stewart, University of Maryland
- Wenwu Tang, University of North Carolina at Charlotte
- Ming-Hsiang (Ming) Tsou, San Diego State University
- E. Lynn Usery, U.S. Geological Survey
- Fahui Wang, Louisiana State University
- Monica Wachowicz, the University of New Brunswick
- John P. Wilson, University of Southern California
- Dawn J. Wright, Esri
- Ningchuan Xiao, The Ohio State University
- Jin Xing, Newcastle University
- Chaowei (Phil) Yang, George Mason University
- Xinyue Ye, Texas A&M University
- May Yuan, University of Texas at Dallas
- Chuanrong Zhang, University of Connecticut
- Fan Zhang, Massachusetts Institute of Technology
- Di Zhu, University of Minnesota, Twin Cities
