Disruptive technologies can help with natural hazards.
Natural disasters are responsible for countless injuries, mortalities, displacements, damages to property (including cultural heritage) and infrastructure, and disturbances to nature and natural resources. Between 2005 and 2015, natural disasters impacted 1.5 billion people in various ways (700,000 lives were lost, 1.4 million injuries were suffered, and 23 million were left homeless), and it has been shown that these natural disasters were predominantly hydrometeorological in origin. The situation is particularly acute in small island developing states (SIDS) and least developed countries (LDC), and for vulnerable populations.
Artificial intelligence (AI) can enhance our understanding of natural disasters and support disaster relief/early warning. However, AI is not yet part of the modus operandi in natural disaster management. Therefore, the Focus Group on AI for Natural Disaster Management (FG-AI4NDM) capitalizes on the growing interest and novelty of AI in the field of natural disaster management to help lay the groundwork for best practices in the use of AI for: assisting with data collection and handling, improving modelling across spatiotemporal scales, and providing effective communication.
A workshop and a meeting
Mark your calendar for the upcoming virtual workshop (23 June 2021) and meeting (24-25 June 2021) of the ITU/WMO/UNEP Focus Group on AI for Natural Disaster Management. Please be sure to complete both registration forms.
Enjoy thought-provoking presentations (including presentations from IAVCEI- and IAMAS-affiliated experts), engage in high-level scientific discussions, and have your research included in our activities! To see the full agenda and to register, please visit the FG-AI4NDM homepage. For any questions, please contact the secretariat.
The content of this post comes from the IUGG Electronic Journal and the International Telecommunication Union website.
