Social and policy simulations, as well as serious games, are participatory processes through which diverse societal stakeholders collectively explore a complex reality and complex challenges. These participatory processes combine both social and natural science insights to foster experiential learning. They enable participants to make sense of the complexity associated with policy issues, and reflect on system inter-linkages and stakeholder plurality. These methods have become increasingly recognised for informing and guiding policy in complex settings, including sustainable development, climate change mitigation/adaptation and disaster risk reduction.
DYNAMMICs is a macroeconomic growth modeling framework that quantifies the many co-benefits of DRR investment for multiple hazards
The Equity and Justice (EQU) Research Group has developed a number of decision-support and process-oriented methods. These tools help stakeholders and policy-makers make sense of the complex governance landscape, while clarifying trade-offs and synergies associated with alternative policy options.
The BinD model is a new generation dynamic disaster-macroeconomic modeling framework that captures supply and demand-side constraints on a developing economy facing disaster risk.