The IRN project Recovery trajectories of Societies to natural DISasters (RISCDIS) is part of the ongoing Anthropocene challenge. Faced with the resurgence, in terms of impacts and frequency, of extreme events and disasters in recent decades, the international RISCDIS project led by the CNRS aims to promote tools for adaptation and resilience strategies in order to reduce the vulnerability of societies. It is therefore interested in both rapid risks such as floods, heat and cold waves, storms and associated marine flooding, as well as slowly evolving risks (rise in sea level, erosion, melting glaciers) and cascading events such as those of Fukushima (Tohoku, Japan) or Blayais (Aquitaine, France) whose meteorological (storm) and geological (earthquake) origins respectively caused a tsunami and a marine submersion causing major industrial accident (Fukushima, 2011) and incident (Blayais, 1999). All deserve the same equal attention due to the growing vulnerability of our societies (urbanization, coastal development, industrialization, migration, aging of exposed populations, etc.).

Coordinated by the UMR Chrono-Environnement (University of Burgundy Franche-Comté), RISCDIS associates for 5 years (2022-2027) the Japanese universities of Kyoto, Sendai, the Université du Québec à Rimouski and l’Institut des sciences de la Mer à Rimouski (Canada), the Massachusetts Institute of Technology (MIT), Harvard University, the Maison des Sciences de l’Homme et de  l’Environement (MSHE) of Besançon and the UMR CNRS ThéMA (Université de Bourgogne Franche-Comté) and Edytem (Université de Savoie Mont Blanc). It is part of a resolutely interdisciplinary and comparative perspective aimed at making it possible to move from fundamental research to operational measures in terms of preparation, management and disaster recovery. It thus involves several expertise in environmental sciences (climatology, sedimentology, glaciology, geology), engineering and social sciences (history, geography, sociology and anthropology).

Contact coordinator :

Emmanuel Garnier, CNRS Research Professor

UMR Chrono-Environnement, Université de Bourgogne Franche-Comté