Society needs to make effective responses to the risks associated with global change. To that end, scientists must understand the systemic and dynamic linkages of environmental, social, and economic risks and how these are impacted by different policy measures. This will enable risk management and governance systems to be improved in order to facilitate long-term sustainable development.
Systems analysis, risk modeling, and transformative governance are fundamental to the mission of Risk & Resilience (RISK). The Program examines environmental and socioeconomic risks and policy options across multiple spatial and temporal scales to provide an analytical foundation for improved management and governance of natural disasters, address climate change, and ease the technological and ecological transitions to sustainability.
The Program has four specific goals:
The program builds on the methodologies, activities and experience gained from the previous IIASA Risk, Modeling and Society (RMS) and Risk, Policy and Vulnerability Programs. It integrates across other IIASA programs and links closely with the vulnerability/resilience research communities.
RISK research areas:
This thematic research area focuses on developing policy-relevant methodological insight for informing risk management and adaptation strategies; the aim of which is to support the multi-scale integration of agendas on risk management, climate change adaptation and sustainable socio-economic development. More
The Governance in Transition research theme analyzes how governance structures shape decisions and subsequent outcomes by building on and contributing to research on decision-making processes, public acceptance, risk perception, cognitive biases, and cultural perspectives, as well as participatory governance design. More
Last edited: 07 January 2020
Du S, Shen J, Fang J, Fang J, Liu W , Wen J, Huang X, & Chen S (2021). Policy delivery gaps in the land-based flood risk management in China: A wider partnership is needed. Environmental Science & Policy 116: 128-135. DOI:10.1016/j.envsci.2020.11.005.
Hochrainer-Stigler S, Laurien F, Velev S, Keating A, & Mechler R (2020). Standardized disaster and climate resilience grading: A global scale empirical analysis of community flood resilience. Journal of Environmental Management 276: e111332. DOI:10.1016/j.jenvman.2020.111332.
Danielson M & Ekenberg L (2020). Automatic Criteria Weight Generation for Multi-criteria Decision Making Under Uncertainty. In: Innovation for Systems Information and Decision. Eds. de Almeida, A.T. & Morais, D.C., pp. 1-14 Cham, Switzerland: Springer. ISBN 978-3-030-64398-010.1007/978-3-030-64399-7_1.
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