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Report
By Risk-informed Early Action Partnership (REAP), March 2024 Now in their third year, the State of Play reports provide snapshots of international, regional and national investments, commitments and activities linked to early warning and early action...
Report
This report summarizes the findings of the Resilience Series, a collaboration between Climate Group and Lloyd’s Register Foundation. Below are the findings of the Series – the challenges, the barriers, but also recommendations that will help ...
Research
Due to climate change, a growing number of people around world are facing serious health risks from exposure to heat inside their own homes, or in public or privately managed facilities, such as schools, health facilities, prisons or care homes. With...
Data set
The Resilient Planet Data Hub is a resource that provides open data about climate and environmental risks. The hub offers high-quality data that is globally consistent. The hub’s Global Resilience Index (GRI) Risk Viewer compares risks from var...
Case Study, Report
The Developing Risk Awareness through Joint Action (DARAJA) project is a collaborative initiative aimed at enhancing weather and climate information services (WCIS) for urban communities, with a particular focus on vulnerable populations residing in ...
Case Study
Cette étude de cas rend compte des expériences de la Croix-Rouge Burkinabe travaillant sur «Communication des risques pour l’alerte précoce et l’action rapide à l’aide du protocole d’alerte commun (PAC) ». L’étude de cas a été éla...
Guidance material
This Handbook on Disaster Law Reform provides guidance on how to run an effective and inclusive legal review process, which harnesses the knowledge and experience of a broad range of actors and stakeholders to develop strong legal arrangements for di...
Awareness material, Report
This issue of Southasiadisasters.net is titled the ‘Urgency of Heatwave Risk Management’. Heatwaves are not only here to stay but will accelerate in their frequency, severity, loss and damage, at all levels. Read 15 vibrant and realize perspectiv...
Research
The present study proposed a novel interpretable machine learning approach to predict household-level evacuation decisions by leveraging easily accessible demographic and resource-related predictors, compared to existing models that mainly rely on ps...
Research
Using a high-resolution dataset of 8.2 million households in Bangladesh’s coastal zone, researchers assess the extent to which infrastructure service disruptions induced by flood, cyclone and erosion hazards can thwart progress towards the Sustaina...