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UID:pretalx-foss4g-2025-XKFCXZ@talks.staging.osgeo.org
DTSTART;TZID=NZST:20251119T120000
DTEND;TZID=NZST:20251119T122500
DESCRIPTION:Digital Twins address the fundamental challenges created by lar
 ge volumes of geospatial data by enabling automated\, near-real time proce
 ssing and analysis\, reducing the gap between data and the insights needed
  for decision-making. Here we present our open-source digital twin softwar
 e framework\, demonstrated through automated flood risk assessment.
DTSTAMP:20260516T102545Z
LOCATION:WG404
SUMMARY:Development of open-source digital twins for automated analysis of 
 flood risk - Matthew Wilson\, Luke Parkinson
URL:https://talks.staging.osgeo.org/foss4g-2025/talk/XKFCXZ/
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BEGIN:VEVENT
UID:pretalx-foss4g-2025-DXRKGK@talks.staging.osgeo.org
DTSTART;TZID=NZST:20251121T143000
DTEND;TZID=NZST:20251121T145500
DESCRIPTION:Improved communication of flood risk via advanced visualisation
  could lead to increased and wider understanding of flooding\, and therefo
 re improved planning decisions and reduced impacts. We demonstrate the rep
 resentation of modelled flood scenarios within virtual reality\, and an op
 en-source Python package for ingesting flood model outputs into Unreal Eng
 ine.
DTSTAMP:20260516T102545Z
LOCATION:WG802
SUMMARY:Virtually flooded: representing flood model predictions in virtual 
 reality for improved public engagement and understanding of risk - Matthew
  Wilson\, Luke Parkinson
URL:https://talks.staging.osgeo.org/foss4g-2025/talk/DXRKGK/
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