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Data and AI for Decision-Support and Policy

National Center for Disaster Prepardness

At the LEAP Wallerstein Panel on AI + Extreme Weather Preparedness , experts from academia and public planning came together to discuss the use of AI/ML for real-world decision-making for disaster management and climate resilience. AI, Data, and Disasters In disasters, data is fragmented.

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Book Review: Justice, Equity, and Emergency Management

Recovery Diva

The principles establish a high and, for all the authors of this volume, a necessary standard for the aspirations of emergency managers and the communities they serve, to work toward disaster recovery processes and practices whereby: #1 ….all 4 …is not possible without equal access to resources and programs.

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The 1980 Southern Italian Earthquake After Forty Years

Emergency Planning

The year 1980 was something of a watershed in the field of disaster risk reduction (or disaster management as it was then known). The incessant, cumulative hammer-blow effect of disasters of all kinds on modern society had begun to stimulate a consistent demand for greater safety and security.

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Unlocking Climate Change Resilience Through Critical Event Management and Public Warning

everbridge

The report “The Human Cost of Disasters 2000-2019” also records major increases in other categories including drought, wildfires , and extreme temperature events. There has also been a rise in geophysical events including earthquakes and tsunamis which have killed more people than any of the other natural hazards under review in this report.