Proceedings of the 3rd Global Summit of Research Institutes for Disaster Risk Reduction

This book presents selected papers from the 3rd Global Summit of Research Institutes for Disaster Risk Reduction – Expanding the Platform for Bridging Science and Policy Making, which was held at the Disaster Prevention Research Institute (DPRI), Kyoto University, Uji Campus from 19 to 21 March 2017. It was organised by the Global Alliance of Disaster Research Institutes (GADRI), which was established soon after the second Global Summit and the UN World Conference on Disaster Risk Reduction in March 2015, and is intended to support the implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030. The conference not only provided a platform for discussion and exchange of information on key current and future research projects on disaster risk reduction and management, but also promoted active dialogues through group discussion sessions that addressed various disaster research disciplines. In this book, authors from various disciplines working at governmental and international organisations provide guidance to the science and technical community, discuss the current challenges, and evaluate the research needs and gaps in the context of climate change, sustainable development goals and other interlinked global disaster situations. Expert opinions from practitioners and researchers provide valuable insights into how to connect and engage in collaborative research with the international science and technical communities and other stakeholders to achieve the goals set out in the agenda of the Sendai Framework for Disaster Risk Reduction 2015–2030. In addition, case studies and other evidence-based research papers highlight ongoing research projects and reflect the challenges encountered in information sharing by various stakeholders in the context of disaster risk reduction and management. Chapter “Science and technology commitment to the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.