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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
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DTSTART:20251102T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260407T072626
UID:217566@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20260130T121500
DTEND;TZID=America/Chicago:20260130T131500
DESCRIPTION:Spatio-Temporal Data Mining: From Deep Learning to Foundation M
 odels. Hosted by the GeoDS Lab@UW-Madison Co-sponsored by the UW-Madison D
 ata Science Institute Guest Speaker: Dr. Haomin Wen\, Postdoctoral researc
 h fellow at the Carnegie Mellon University.  Abstract: This talk will pres
 ent the latest research progress in Spatio-Temporal Foundation Models (STF
 Ms) and spatiotemporal data mining.\n\nCONTACT: song.gao@wisc.edu\n\nURL: 
 https://geography.wisc.edu/geods/
LOCATION:140 Science Hall
SUMMARY:Geospatial Data Science Speaker Series: Dr. Haomin Wen
URL;VALUE=URI:https://geography.wisc.edu/geods/
END:VEVENT
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