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DTSTART:20211031T030000
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UID:www.bayceer.uni-bayreuth.de-bayceer-t164903id
DTSTAMP:20260812T091125Z
DESCRIPTION:To ameliorate wicked problems facing our world\, from poverty\,
  hunger\, biodiversity pres-ervation\, access to water\, education\, equal
  rights\, and more\, the United Nations has iden-tied a set of seventeen g
 lobal Sustainable Development Goals (SDG). To achieve eachof these goals\,
  a set of targets and over 200 indicators have been recognized and agreedu
 pon among UN member states. Well-designed maps and graphics portraying SDG
  in-dicator data that inform decision-makers to decide where to place inte
 rventions to reachthe targets. Design choices inuence what will then be un
 derstood from the map and de-cisions that are subsequently made. Currently
 \, indicator data are collected in an unevenheterogeneous manner\, aggrega
 ted at an imprecise national level\, and data are missingin some of the mo
 st impoverished parts of the world. is is where Geospatial ArticialIntelli
 gence (GeoAI) could help. rough the use of unmanned aerial vehicles to col
 lectremotely sensed imagery\, combined with computer vision soware systems
  to process it\,data collection\, and visualization strategies could be im
 proved worldwide. In this talk\, Iwill present specic considerations relat
 ed to data sovereignty and GeoAI practices\, car-tography and the UN SDGs.
 \nFurther information:www.geographie.uni-bayreuth.de/de/Veranstaltungen/GI
 B-Lecture-Series/index.html
DTSTART;TZID=Europe/Berlin:20220524T161500
DTEND;TZID=Europe/Berlin:20220524T174500
LOCATION:INF/ AI\, H33 + online
SUMMARY:Dr. Britta Ricker\, Utrecht University: Cartography\, Geo- AI\, and
  the United Nations Sustainable Development Goals
TRANSP:TRANSPARENT
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