EMS Annual Meeting Abstracts
Vol. 18, EMS2021-8, 2021
https://doi.org/10.5194/ems2021-8
EMS Annual Meeting 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Nature can be disruptive, so can technology: ITU/WMO/UNEP Focus Group on AI for Natural Disaster Management

Monique Kuglitsch
Monique Kuglitsch
  • Fraunhofer Heinrich Hertz Institut, Research, Berlin, Germany (monique.kuglitsch@hhi.fraunhofer.de)

To enhance the preparedness for (and response to) natural disasters, the ITU/WMO/UNEP Focus Group on AI for Natural Disaster Management (FG-AI4NDM) explores the potential of AI to support data collection, handling, and monitoring; to improve modeling across spatiotemporal scales (reconstructions and forecasts) through extracting complex patterns (and gaining insights) from a growing volume of geospatial data, and to provide effective communication. To achieve these objectives, FG-AI4NDM converges stakeholders and experts from across the globe with special effort made to support participation from low- and mid-income countries and those countries shown to be particularly impacted by these types of events.

How to cite: Kuglitsch, M.: Nature can be disruptive, so can technology: ITU/WMO/UNEP Focus Group on AI for Natural Disaster Management, EMS Annual Meeting 2021, online, 6–10 Sep 2021, EMS2021-8, https://doi.org/10.5194/ems2021-8, 2021.

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