AI-based Approach in Early Warning Systems: Focus on Emergency Communication Ecosystem and Citizen Participation in Nordic Countries

Fuzel Shaik, Getnet Demil, Mourad Oussalah
6/20/2025
cs.CYcs.AI

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Abstract

Climate change and natural disasters are recognized as worldwide challenges requiring complex and efficient ecosystems to deal with social, economic, and environmental effects. This chapter advocates a holistic approach, distinguishing preparedness, emergency responses, and postcrisis phases. The role of the Early Warning System (EWS), Risk modeling and mitigation measures are particularly emphasized. The chapter reviews the various Artificial Intelligence (AI)-enabler technologies that can be leveraged at each phase, focusing on the INFORM risk framework and EWSs. Emergency communication and psychological risk perception have been emphasized in emergency response times. Finally, a set of case studies from Nordic countries has been highlighted.

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Cite this paper

@article{shaik2025aibased,
  title  = {AI-based Approach in Early Warning Systems: Focus on Emergency Communication Ecosystem and Citizen Participation in Nordic Countries},
  author = {Fuzel Shaik and Getnet Demil and Mourad Oussalah},
  year   = {2025},
  eprint = {2506.18926},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2506.18926v1}
}

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