BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
TZID:America/Chicago
X-WR-TIMEZONE:America/Chicago
BEGIN:VEVENT
UID:30@ccr.nelson.wisc.edu
DTSTART;TZID=America/Chicago:20251014T120000
DTEND;TZID=America/Chicago:20251014T130000
DTSTAMP:20251010T144823Z
URL:https://ccr.nelson.wisc.edu/events/tracking-the-hidden-health-costs-of
 -floods-from-space/
SUMMARY:Uncovering the Hidden Health Costs of Flooding from Space: New Insi
 ghts from Satellite Data and Machine Learning
DESCRIPTION:Speaker:  Jonathan Sullivan\, Assistant Professor\, Nelson Ins
 titute for Environmental Studies\, UW–Madison\n\n\n\nGlobally\, flooding
  affects more people than any other environmental hazard and their consequ
 ences are far from uniform\, often exacerbating existing social and econom
 ic vulnerabilities. The escalating severity of heavy precipitation has the
  potential to amplify the disproportionate effects of flooding on vulnerab
 le populations. In particular\, flooding is known to affect numerous healt
 h outcomes including infectious disease\, mental health\, and access to he
 althcare. However\, previous investigations on flood damage and loss have 
 been limited to a handful of health outcomes\, localized case studies\, an
 d rarely attending to the disproportionate burden experienced by vulnerabl
 e communities. The lack of empirical evidence is\, in part\, due to incons
 istent and sparse records of historical flood exposure. This talk will exp
 lore how novel methods to characterize flood exposure with satellite image
 ry and machine learning can enable empirical analyses of flood-related hea
 lth outcomes across large spatio-temporal scales. Example studies from the
  United States and Bangladesh will demonstrate how such methods can work i
 n data rich and sparse contexts. This work provides insight into how flood
 ing can influence health over longer time horizons than previously studied
  while also identifying underlying factors that predispose communities to 
 loss.\n\nView the livestream
CATEGORIES:CPEP
LOCATION:823 Atmospheric & Oceanic Sciences\, 1225 W. Dayton St.\, Madison\
 , United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1225 W. Dayton St.\, Madiso
 n\, United States;X-APPLE-RADIUS=100;X-TITLE=823 Atmospheric & Oceanic Sci
 ences:geo:0,0
END:VEVENT
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR