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

• URL: http://arxiv.org/abs/2506.18926v1
• Date: Fri, 20 Jun 2025 12:32:16 GMT
• Title: AI-based Approach in Early Warning Systems: Focus on Emergency Communication Ecosystem and Citizen Participation in Nordic Countries
• Abstract summary: The chapter advocates a holistic approach, distinguishing preparedness, emergency responses, and postcrisis phases.<n>The role of the Early Warning System (EWS), Risk modeling and mitigation measures are particularly emphasized.<n>Case studies from Nordic countries have been highlighted.
• Score: 0.7373617024876725
• License: http://creativecommons.org/licenses/by/4.0/
• 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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