Training event

Third ITU/WMO/UNEP Workshop on Artificial Intelligence for Natural Disaster Management

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Third ITU/WMO/UNEP Workshop on Artificial Intelligence for Natural Disaster Management
Format
Online
Event language(s)
  • English
Date

Introduction​

The International Telecommunication Union (ITU),  World Meteorological Organization (WMO)​ and UN Environment Programme (UNEP)  are co-organizing a third workshop to highlight uses of artificial intelligence (AI) for supporting the detection, forecasting, and communication of natural hazards and disasters. 

​​The workshop will take place at 10:00 -16:00 CEST on 30 August 2021, and will be followed by the third meeting of the ITU/WMO/UNEP Focus Group on AI for Natural Disaster Management (FG-AI4NDM) on  31 August - 2 September 2021 at 13:30 - 16:00 CEST.

Objectives

The workshop will explore ways that AI can enhance modelling across spatiotemporal scales and facilitate effective communication in the event of a natural disaster. The workshop will consist of four sessions. First, a session of high-level keynote presentations will set the stage. Then, three sessions of high-calibre technical presentations and discussions will enable us to delve deeper into this topic. 

Target Audience

The focus group workshops and meetings are freely open to ITU Member States, Sector Members, Associates, and Academic Institutions and to any individual from an ITU member country. This includes individuals who are members of international, regional, and national organizations. 

Participation

Registration is mandatory to attend the workshop. Please note that registration for the FG-AI4NDM meeting 31 August - 2 September 2021 is separate

Draft Programme

​​​​10:00 - 10:15​ Opening Remarks
  • Chaesub Lee​​, Director, Telecommunication Standardization Bureau, ITU
  • Jürg Luterbacher​, Vice-Chair of the ITU-T Focus Group on “Artificial Intelligence for Natural Disaster Management” (FG-AI4NDM)​ I Director of Science and Innovation and the Chief Scientist of the World Meteorological Organization (WMO)​​
  • Muralee Thummarukudy​​, Acting Head, Resilience to Disasters and Conflicts Global Support Branch, United Nations Environment Programme (UNEP)​

​10:15 - 11:00 Session 1: Introduction to ITU/WMO/UNEP FG-AI4NDM and Keynotes
  • Keynote: Monique Kuglitsch, Innovation Manager, Fraunhofer HHI, Chair, ITU/WMO Focus Group on AI for Natural Disaster Management, Fraunhofer Heinrich Hertz Institute​
  • Keynote: UNFCCC
  • Keynote: Bert Holtslag​, President, European Meteorological Society I Professor, Wageningen University 
​11:00 - 12:20 ​Session 2: AI for Communications
The session will address how AI can support effective communication for natural hazard-related emergencies. It will explore how AI is being used for susceptibility mapping of natural hazards, how AI is being used for natural catastrophe modeling for insurance purposes, and how AI-based chatbots can be used during natural disasters.

Session Chair: Paula Padrino Vilela​, Project Coordinator, United Nations Environment Programme (UNEP)​
  • Bahareh Kalantar​, Research Scientist, RIKEN: "Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping​"
  • Roland Schöbi, Senior Catastrophe Researcher, Zurich Insurance Company Ltd.: "AI applications in natural and man-made catastrophe modelling"
  • UNESCO, TBD​
  • Jamese Sims, United States National Oceanic and Atmospheric Administration
Q&A​​
​12:20 - 12:40 Break
​​12:40 - 14:00 Session 3 - AI for modeling (reforecasting and projecting)

The session will delve into the use of AI for forecasting and projecting natural disasters. For instance, it will look at how hail, floods, and fog can be forecasted using AI. 

Session Chair: Erica Allis, Senior Programme Manager at World Meteorological Organization
  • Alex Marti, CEO and Co-Founder, Mitiga Solutions I Natural Hazards and Risk Analysis Group Leader,  Barcelona Supercomputing Center
  • Raffaele Albano​, Assistant Professor, University of Basilicata, Potenza (IT): "AI for flood risk warning and communication: a network of rain gauge cameras on a 5G telecommunication network"
  • Jude Adeleke​, Head, IT Division, National Space Research and Development Agency (NASRDA): "Multi-Scale Flood Monitoring and Assessment Services for West Africa (MIFMASS)"
  • Kriti Bajaj​ and Shruti Sharma​, IIT Kanpur: "Fog prediction using artificial intelligence"
Q&A​​
14:00 - 15:30​ Session 4: AI for data (monitoring and detecting)

The session will focus on how AI can be used to monitor data streams and detect events in real time. It will look at how AI can be used to detect earthquakes and insect infestations. It will also look at how AI can be used to automate the annotation of remotely sensed imagery.

Session Chair: Arif Albayrak​, Associate Research Engineer, NASA Goddard Space Flight Center, Maryland, USA, Co-Chair, ITU/WMO Data Working Group​​
  • Marius Kriegerowski, Software Engineer, Quakesaver
  • Nguyen Ha Trang, PhD Student, Yamagata University: "Pest Infested Fir Tree (Abies Mariesii) Identification Using AI"
  • Rudy Venguswamy, Data Scientist, Pinterest and Anirudh Koul​, AI Scientist, Pinterest: "Worldview Search - The NoCode Earth & Natural Disaster Dataset Curator from Unlabeled Petabyte Scale Imagery"
  • Christina Kumler, Associate Scientist II, Cooperative Institute for Research in Environmental Sciences (CIRES): "Using Deep Learning to Identify Cyclones in Satellite and Weather Model Data"
Q&A
​15:30 - 15:45 ​Mike Farrar, Director, National Centers for Environmental Prediction (NCEP) at National Weather Service: "The growing importance of AI in weather, water and climate applications: dual perspectives from the American Meteorological Society (AMS) and the U.S. National Weather Service​"
15:45 - 16:00​ Closing Remarks 

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