Second ITU/WMO/UNEP Workshop on AI for Natural Disaster Management

Second ITU/WMO/UNEP Workshop on AI for Natural Disaster Management



23 June 2021

Online from 10h00-15h30 CEST

WMO, International Telecommunication Union (ITU)  and UN Environment Programme (UNEP) are organizing a workshop to explore the uses of artificial intelligence (AI) in supporting natural disaster prediction/early warning as well as improving our understanding of  hazards and disasters.

The Workshop will take place on 23 June 2021, from 10h00-15h30 CEST. This Workshop will be followed by the second meeting of the ITU/WMO/UNEP Focus Group on AI for Natural Disaster Management (FG-AI4NDM), 24-25 June 2021.​


The workshop will elaborate on the role that AI plays (or could play) to support data collection and handling, improve modelling across spatiotemporal scales, and provide effective communication in the event of a natural disaster. Encompassing four sessions, the workshop will have  high-caliber scientific and technical presentations followed by interactive discussions.

Target Audience

The focus group workshops are freely open to WMO Member States, its partners in the public, private and academic sectors and to any individual from a WMO Member State or Territory. This includes individuals who are members of international, regional and national organizations.


Registration is mandatory to attend the workshop:  REGISTER HERE


DRAFT Programme

​​​​10:00 - 10:05​ Opening Remarks
​​​​​10:05 - 10:50​ Session 1: Introduction to ITU/WMO/UNEP FG-AI4NDM and Keynotes
  • Keynote: Monique Kuglitsch​, Chair of ITU/WMO/UNEP Focus Group on AI for Natural Disaster Management & Innovation Manager, Fraunhofer Heinrich Hertz Institute
  •  Keynote: Shamila Nair-Bedouelle​, Assistant Director General for Natural Science, UNESCO
  • Keynote: UNHCR
​​​​10:50 - 12:10​​ Session 2: AI for communications 
The session will address how AI can support effective communication for natural hazard-related emergencies. Presentation themes will include: how AI-based technologies can be used to support early warning systems and dashboards, how the perspective of stakeholders can be integrated in the development of such technologies, and the relevance of such technologies for disaster risk reduction at the national, regional, and international levels. 
Session ChairAhmed Riad Ismail, Senior Director, Strategy and Industry Development, Huawei
  • Adam Fysh, Programme Management Officer, UNDRR
  • Ioannis Andredakis, Senior Analyst on Disaster Early Warning, European Commission
  • Danielle Charlton, Hazard and Risk Management, GNS Science
  • Thomas Ward and Rinku Kanwar, AI Project Leader and Software Designer, IBM
​​​​12:10 - 12:30​​ ​Break
​​​​12:30 - 13:50​​ ​​​Session 3: AI for modeling (reconstructing, detecting, forecast, and projecting)
​​The session will delve into the use of AI for forecasting and projecting natural disasters. Use cases will cover floods, volcanoseismic events, wildfires, and atmospheric extremes.

Session Chair: Peter Dueben, Coordinator of Machine Learning and AI, European Centre for Medium-Range Weather Forecasts
  • Feyara Hirpa, Senior Data Scientist, One Concern
  • Corentin Caudron, University Savoie Mont Blanc & member of International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI)
  • Helen Li, Senior AI Researcher, CAICT
  • Thomas Spengler, Professsor, University of Bergen an Member of International Association of Meteorology and Atmospheric Sciences (IAMAS)​
​13:50 - 15:20​ Session 4: AI for data (collection, handling and monitoring)
 The session will focus on how AI can be used to monitor data streams and detect events in real time. Use cases will cover locust plagues and atmospheric extremes.

Session Chair: Robin Bell, Professor, Columbia University, & President, American Geophysical Union
  • Hadia Samil, Researcher, MILA Quebec Artificial Intelligence Institute
  • Nicolas Longépé, Earth Observation Data Scientist, European Space Agency
  • Andrea Toreti, Scientific Officer, Joint Research Centre of European Commission
  • Miguel Angel Fernandes Torres, Researcher, University of Valencia
​15:20 - 15:30​
Closing R​emarks


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