Remove Capacity Remove Natural Hazard Remove Risk Reduction
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Data and AI for Decision-Support and Policy

National Center for Disaster Prepardness

Miguel-ngel Fernndez-Torres, an Assistant Professor at the Signal Theory and Communications Department at the Universidad Carlos III de Madrid and co-lead of the Working Group on Data at the Global Initiative on Resilience to Natural Hazards through AI Solutions. Focus Group on AI for Natural Disaster Management (FG-AI4NDM).

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AI for Wildfires and Heatwaves

National Center for Disaster Prepardness

MedEWSa , the MEDiterranean and pan-European forecast and Early Warning System Against natural hazards project, is another example of AI/ML being leveraged for early warning and decision support systems to address a variety of hazards—including wildfires and heatwaves—across the Euro-Mediterranean and North African region.

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Book Review: The Invention of Disaster

Recovery Diva

The book is part of Routledge Studies in Hazards, Disaster Risk and Climate Change. is a disaster risk management specialist, currently working for the Pacific Disaster Center (PDC Global). Series Editor: Ilan Kelman. For more information: [link]. Reviewer: Irmak Renda-Tanali, D.Sc.

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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). It was clear that the US Government was influenced by the suffering and the shortcomings of the response to the tragedy as it built up its own capacity to respond to natural hazard impacts.

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Towards a Taxonomy of Disasters

Emergency Planning

The next question is where to draw the boundaries in the study of disasters and practice of disaster risk reduction. Pandemics are included because many of the effects of a pandemic are likely to be socio-economic in nature. Disaster risk reduction policy is heavily influenced by the class of disaster involved.