Schedule

DATE LOCATION TIME/AGENDA
July 22 (Monday) Pre-symposium Workshop & KNIME Data Connect
Venue: Virginia Tech Research Center
900 N Glebe Rd, Arlington, VA 22203
 map

9:00AM-5:00PM:
I. Replicable Data Analysis with Geospatial Analytics for KNIME
II. Develop GeoAI Tools using ChatGPT and Python Packages
III. Cloud Computing with Google Earth Engine and GeoAI
IV. Geospatial Methods and Tools for the Spatial Assessment of Healthcare Accessibility

5:00PM-7:00PM:
KNIME Data Connect
July 23 (Tuesday) Onsite Symposium Sessions (with online access)
Venue: George Mason Square (3351 Fairfax Dr, Arlington, VA 22201, map). 		 9:00AM-5:00PM:
The Symposium on Spatiotemporal Data Science: GeoAI for Social Sciences
July 24 (Wednesday) Online Symposium Sessions 9:00AM-5:00PM:
The Symposium on Spatiotemporal Data Science: GeoAI for Social Sciences

Overall Schedule

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July 24, 2024
Virtual Room
9:00-9:30 AMKeynote: Krzysztof Janowicz

Recording
9:30-11:00AMPlenary Panel: Digital Twin and Spatiotemporal Data Science

Recording
Keynote: Laura Rogers

Recording
Keynote: Xinyue Ye

Recording
Keynote: Pierre Goovaerts

Recording
Keynote: James Kinter

Recoding
Break
Virtual Rooms
11:15-12:30 PMSession 13: A-2-o: Spatiotemporal Data Science Vision
Session 14: B-2-o: Economic analyses
Session 15: C-3-o: Climate Change: Urban Heat Stress
Session 16: OS-1-o: Open Source Science
Lunch
1:30-3:00 PMSession 17: W-2-o: Computing and workflow
Session 18: MM-1-o: Modeling and methods
Session 19: HA-2-o: Health Accessibility & Analytics
Session 20: PCS-1-o: Public and cyber safety
Break
3:15-4:30 PMSession 21: F-1-o: Flooding
Session 22: CLT-2-o: Image Classification, Labeling and Training data
Session 23: S-1-o: Smart cities and built environment
Session 24: GAI-1-o: Geo for AI vs. AI for Geo: When GeoAI Meets Spatiotemporal Analysis and Modeling
4:30 PM Concluding Session

Keynote Speakers:
John Wilson, University of South California
Michael Goodchild, University of California Santa Barbara
Krzysztof Janowicz, University of Vienna & UCSB

Program: https://sdl.gis.harvard.edu/sites/projects.iq.harvard.edu/files/agenda_2024_3_1.pdf