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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
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DTSTART:20251102T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260408T005810
UID:214766@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20251107T121500
DTEND;TZID=America/Chicago:20251107T133000
DESCRIPTION:Enhancing AI’s Geospatial Intelligence: Multimodality\, Spati
 al-Explicitness\, and Explainability. Hosted by the GeoDS Lab@UW-Madison\n
 Co-sponsored by the UW-Madison Data Science Institute\nGuest Speaker: Dr. 
 Meiliu Wu\, University of Glasgow\, UK\nAbstract: This talk focuses on thr
 ee perspectives (i.e.\, data\, methodology\, and explainability) to discus
 s how we can enhance geospatial intelligence of AI models\, a core questio
 n in the development of GeoAI.\n\nCONTACT: song.gao@wisc.edu\n\nURL: https
 ://geography.wisc.edu/geods/\n\nONLINE: https://uwmadison.zoom.us/j/941813
 50880
LOCATION:175 Science Hall  (Also offered online)
SUMMARY:Geospatial Data Science Speaker Series: Dr. Meiliu Wu
URL;VALUE=URI:https://geography.wisc.edu/geods/
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