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Artificial Intelligence applied to disasters and crises management

Published on 22 January 2025
Exploring the application of Large Language Models and other AI techniques to the European Crisis Management Laboratory analyses.
Reports and books

Artificial Intelligence applied to disasters and crises management

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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
doi:10.2760/0323818

The European Crisis Management Laboratory (ECML) does 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.

Disclaimer
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.

Hazard types

Multi-hazard

DRM Phases

Preparedness Prevention Response

Geographic focus

Global

Sectors

AI, RPAS & remote sensing Anticipation and foresight