AAG 2025 Symposium on Spatial AI & Data Science for Sustainability: Convergence Curriculum for Spatial AI and Data Science
Type: Panel
Recording Plan:
Theme: Making Spaces of Possibility
Curated Track:
Sponsor Group(s):
Applied Geography Specialty Group, Cyberinfrastructure Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Shaowen Wang University of Illinois - School of Earth, Society, & Environment
Wei Hu University of Illinois - Department of Geography and GIS
Alexander Michels University of Illinois Urbana-Champaign - Department of Geography and Geographic Information Science
Rebecca Vandewalle University of Illinois Urbana-Champaign - Department of Geography and Geographic Information Science
Chair(s):
Shaowen Wang, University of Illinois - School of Earth, Society, & Environment
,
Call For Participation
Description:
The Symposium on Spatial Artificial Intelligence (AI) & Data Science for Sustainability will explore theories, concepts, methods, and tools focused on data-intensive geospatial understanding for driving innovative cyberGIS (cyber-based geographic information science and systems) and spatial AI approaches to address sustainability challenges such as aging infrastructure, biodiversity loss, and food and water insecurity. The Symposium is sponsored by the Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE, https://i-guide.io), funded by the U.S. National Science Foundation.
Spatial AI and data science intersect three broad knowledge domains: (1) GIS and cyberGIS, (2) AI and data science, and (3) cyberinfrastructure and computational sciences. This symposium fosters this cross-disciplinary intersection and related synergy to seek fundamental geospatial understanding for guiding critical thinking, discovery, and innovation focused on sustainability solutions.
The Symposium on Spatial AI and Data Science for Sustainability will build on the successes of previous Symposia focused on cyberGIS and geospatial data science at AAG annual meetings since 2011. A suite of paper/panel sessions and workshops will address cutting-edge advances of cyberGIS, spatial AI and data science, and data-intensive 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, spatial AI and data science, high-performance computing approaches to geographic problem solving, multiscale mapping and analysis, geospatial approaches to resilience and sustainability challenges enabled by spatial AI and data science, and challenges and opportunities of education and workforce development in spatial AI and data science.
Presentations (if applicable) and Session Agenda:
Non-Presenting Participants
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AAG 2025 Symposium on Spatial AI & Data Science for Sustainability: Convergence Curriculum for Spatial AI and Data Science
Description
Type: Panel
Contact the Primary Organizer
Shaowen Wang University of Illinois - School of Earth, Society, & Environment
shaowen@illinois.edu
Session sponsored by: