Artificial Intelligence applied to disasters and crises management 2024
This document explores the application of Large Language Models and other AI techniques to the European Crisis Management Laboratory analyses.
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Artificial Intelligence applied to disasters and crises management 2024
(3.37 MB - PDF)- Author details
- Galliano, D. A.; Bitussi, A.; Caravaggi, I.; De Girolamo, L.; Destro, D.; Duta, A.-M.; Giustolisi, L.; Lentini, A.; Mastronunzio, M.; Paris, S.; Proietti, C.; Salvitti, V.; Santini, M.; Spagnolo, L.
- Unique identifier
- ISBN 978-92-68-22801-2
The European Crisis Management Laboratory (ECML) carries out research and development in support of EU crisis preparedness and response policy. It fosters the use of science in situational awareness, adding value to the routine context analysis and operational activities of the EU’s Emergency Response Coordination Centre (ERCC) and the EU’s External Action Service (EEAS), and their information products. At the same time, the analyses of the ECML are meant to learn from real emergencies to enhance the EU’s situational awareness capabilities by incorporating emerging dynamics and trends via anticipatory analyses.
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- Information and views set out in this community page can also be those of the author and do not necessarily reflect the official opinion of the European Commission.
DRM Phases
Preparedness
Prevention
Geographic focus
all Europe/EU
Sectors
Anticipation and foresight