2026 Symposium on Spatiotemporal Data Science

Hosted by Virginia Tech and co-sponsored by the NSF-sponsored Spatiotemporal Innovation Center, this symposium aims to promote replicable and expandable spatiotemporal data science with new methodology and innovative technology. The symposium will discuss open data sources, advanced methodology, cutting-edge research, latest technology development and education with a focus on spatial AI. The program will include onsite and online sessions.
The conference will be in a hybrid format, which will include keynote addresses, presentation sessions, and panel discussions.
The topics include, but not limited to:
Digital twins for geoscience
Reproducible and Scalable Spatiotemporal Data Science
Spatial Artificial Intelligence: Theory, Models, and Applications
Cloud-Native Geospatial Computing and Distributed Analytics
Decision Intelligence and Real-World Applications of Spatial AI
Integrated data pipelines for spatiotemporal analysis
Advanced spatial modeling and statistical learning
Machine learning and deep learning architectures for spatial data
Generative AI and large language models in geospatial workflows
Translational applications in public policy, business analytics, and environmental systems
There will be a three-day workshop (August 4-6, 2026) on Spatiotemporal AI before the symposium. Core topics include: (1) foundations of spatiotemporal AI; (2) advances in cloud computing for spatiotemporal AI; (3) integration of GeoAI and generative AI in research design, spatial modeling, and applications; (4) future trends of spatiotemporal AI.
The conference is accepting abstract submissions for oral or poster presentations (less than 500 words) before May 15, 2026. Detailed agenda and lodging information will be shared with the authors of accepted submissions. Participants are responsible for their own travel and lodging expenses.
Online Registration: eventbrite.com/e/1986860348788
Registration for the conference:
US$350, before June 30, 2026
US$450, after (incl