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Facilitating adoption of AI in natural disaster management through collaboration

Author

Listed:
  • Monique M. Kuglitsch

    (Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute)

  • Ivanka Pelivan

    (Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute)

  • Serena Ceola

    (Alma Mater Studiorum Università di Bologna, Department of Civil, Chemical, Environmental, and Materials Engineering)

  • Mythili Menon

    (International Telecommunication Union)

  • Elena Xoplaki

    (Justus Liebig University Giessen)

Abstract

Artificial intelligence can enhance our ability to manage natural disasters. However, understanding and addressing its limitations is required to realize its benefits. Here, we argue that interdisciplinary, multistakeholder, and international collaboration is needed for developing standards that facilitate its implementation.

Suggested Citation

  • Monique M. Kuglitsch & Ivanka Pelivan & Serena Ceola & Mythili Menon & Elena Xoplaki, 2022. "Facilitating adoption of AI in natural disaster management through collaboration," Nature Communications, Nature, vol. 13(1), pages 1-3, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29285-6
    DOI: 10.1038/s41467-022-29285-6
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    Cited by:

    1. Gupta, Shivam & Modgil, Sachin & Kumar, Ajay & Sivarajah, Uthayasankar & Irani, Zahir, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," International Journal of Production Economics, Elsevier, vol. 254(C).
    2. Shivam Gupta & Sachin Modgil & Ajay Kumar & Uthayasankar Sivarajah & Zahir Irani, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," Post-Print hal-04325638, HAL.

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