Safety nets are an important institution for equitably and effectively managing the risks of natural hazards and adapting to climate change.
Societies have developed many ways to absorb, share and transfer risks, ranging from informal arrangements, (micro) insurance, national insurance systems and regional pools. These systems embed valued and potentially conflicting aims, such as solidarity to the victims, affordability by the most vulnerable, fostering of risk reduction, and distributing public and private liability fairly. The challenge for the development and climate adaptation communities is to design disaster safety nets that take account of contending views on their efficiency and fairness.
Specifically, the research of the Risk Pooling and Sharing theme focuses on:
Our interdisciplinary projects are at the interface of science and policy, including implementing stakeholder processes, analyzing reform options for national insurance systems, advising sovereign states on risk financing options, and participating in international climate adaptation forums (most recently the Warsaw International Mechanism on Loss and Damage).
As losses and damages from natural catastrophes are increasing, the traditional objectives for risk-transfer mechanisms are being reconsidered across the globe. The most important new claim is for insurance systems to further adaptive behavior and risk reduction. More
Improving the resilience of society to catastrophic natural hazards through new risk-management partnerships More
IIASA is a core member of the Flood Resilience Alliance, an innovative partnership between research, development and humanitarian NGOs and the private sector that works together for making at step change with regard to policy, finance and practice of managing floods and other climate-related hazards towards increased community resilience. More
Last edited: 01 September 2014
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313