AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS

AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS


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)

Paper Sessions (Incomplete)

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)

Organizing Committee (Incomplete)