AI and data science for smart emergency, crisis and disaster resilience

The uncertain world has seen increasing emergencies, crises and disasters (ECDs), such as the COVID-19 pandemic, hurricane Ian, global financial inflation and recession, misinformation disaster, and cyberattacks. AI for smart disaster resilience (AISDR) transforms classic reactive and scripted disas...

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Detalles Bibliográficos
Autor principal: Cao, Longbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Viewpoint
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041487/
https://www.ncbi.nlm.nih.gov/pubmed/37035277
http://dx.doi.org/10.1007/s41060-023-00393-w
Descripción
Sumario:The uncertain world has seen increasing emergencies, crises and disasters (ECDs), such as the COVID-19 pandemic, hurricane Ian, global financial inflation and recession, misinformation disaster, and cyberattacks. AI for smart disaster resilience (AISDR) transforms classic reactive and scripted disaster management to digital proactive and intelligent resilience across ECD ecosystems. A systematic overview of diverse ECDs, classic ECD management, ECD data complexities, and an AISDR research landscape are presented in this article. Translational disaster AI is essential to enable smart disaster resilience.

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