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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.
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A dataset that allows users to browse, select, visualize and download demographic data and population projections
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Platform to assess the heterogeneity of disaster risk
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By applying the multi-state model of population dynamics, including differential fertility, mortality and migration rates, POP has produced projections of the European and Asian population by age, sex and four levels of educational attainment, as well as population projections by age, sex, and level of educational attainment for the world. Additionally, new measures of aging, developed at IIASA, are presented for the world and world regions, and individual countries.
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In the framework of the Centre of Expertise on Population and Migration, a research partnership between IIASA's World Population Program and the European Commission's Joint Research Centre, IIASA provides science-based knowledge on migration and demography to support EU policy.
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IIASA researchers have developed multi-dimensional/multi-state models to study population dynamics at the global, regional, national and sub-national level.
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Three different scenarios for the implementation of the Sustainable Development Goals, focusing on the goals that could impact fertility and mortality rates and thus population growth are now available for downloading.
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The 2014 update to IIASA's world population projections
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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.
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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.
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DYNAMMICs is a macroeconomic growth modeling framework that quantifies the many co-benefits of DRR investment for multiple hazards