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This contributing paper summarizes the seismic risk analysis of Mexico City, based on a detailed database constructed with information provided by the city but also with tools such as geomatics and machine learning. The most unfavorable seismic scenarios and structural characteristics that decrease the resilience of the city are shown. The objectiv…
This contributing paper examines the interplay between official adaptive social protection (ASP) and grassroots efforts based on a case study of the rural reconstruction and recovery that took place after the 2008 Wenchuan earthquake in Sichuan, China. Previous research has broadly demonstrated that these grassroots efforts have, to a certain extent, re…
This contributing paper explores the use of probabilistic counterfactual analysis to calculate and highlight the ‘probabilistic lives saved’ from disaster risk management interventions, that would otherwise remain unnoticed. The goal of Disaster Risk Management (DRM) is to ensure that society continues to function, thrive, and recover quickly despite sh…
This contributing paper explains how indirect economic impacts are computed, the necessary input data, and includes example applications for a hypothetical multi-dam breach, a hypothetical earthquake, and a hypothetical hurricane in the Caribbean (a non-US example). When measuring potential damages associated with a particular threat, there are both dir…

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