Leveraging AI for Natural Disaster Management : Takeaways From The Moroccan Earthquake
It addresses improving disaster response for affected communities, but is incremental as it synthesizes existing insights without new methods or results.
The paper analyzes the 2023 Moroccan earthquake to explore AI applications in disaster management, highlighting key challenges like data scarcity and interdisciplinary collaboration from a post-disaster hackathon.
The devastating 6.8-magnitude earthquake in Al Haouz, Morocco in 2023 prompted critical reflections on global disaster management strategies, resulting in a post-disaster hackathon, using artificial intelligence (AI) to improve disaster preparedness, response, and recovery. This paper provides (i) a comprehensive literature review, (ii) an overview of winning projects, (iii) key insights and challenges, namely real-time open-source data, data scarcity, and interdisciplinary collaboration barriers, and (iv) a community-call for further action.