Model
A modeling framework for medium to long-term energy system planning, energy policy analysis, and scenario development
Water Security (WAT)
Integrated Biosphere Futures (IBF)
Energy, Climate, and Environment (ECE)
Sustainable Service Systems (S3)
Pollution Management (PM)
Integrated Assessment and Climate Change (IACC)
Transformative Institutional and Social Solutions (TISS)
Multidimensional Demographic Modeling (MDM)
Austria
Brazil
China
Germany
Italy
Norway
Tool
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.
Model
Two-stage optimal control models are a useful tool to model stochastic shocks, which have the potential to significantly alter the characteristics of a dynamic system, but cannot be controlled by the decision maker. Applications can be found in a wide range of topics including health and environmental economics.
Tool
The IIASA/EQU Justice Framework comprehensively outlines justice in its multiple aspects with the aim to facilitate justice assessment across diverse research and policy contexts. It is meant to be accessible across disciplines, powerful in terms of capacity to express a variety of justice ideas, and modular so researchers can select and deploy the aspects that are most appropriate or useful.
Model
Losses from natural and man-made catastrophes are rapidly increasing. The main reason for this is the clustering of people and capital in hazard-prone areas, interdepedencis between economic activities, systemic risks, the creation of new hazard-prone areas. Warming climate is projected to be a driver affecting the frequency of extreme events, such as wildfires and flash floods, as well as the intensity of precipitation, wind speed, etc. The increasing vulnerability of the society calls for new integrated approaches to economic developments and risk management with an explicit emphasis on catastrophes and systemic risks. The integrated spatilly-explicit catastrophe risk modeling and management model (ISCRiMM) is beeing developed at CAT (Cooperation and Transformative Governance) group of the Advancing Systems Analysis (ASA) program at IIASA for spatial and temporal analysis and management of various natural disaster risks and possible chain risks in interdependet systems. This is a GIS-based model which explicitly accounts for the interplay between national and local ex-ante measures, e.g., investment in prevention/mitigation measures (on the part of the public authorities, the citizens and the insurance industry) and ex-post policies for sharing the financial costs after the disaster.
Dataset
By applying the multi-state model of population dynamics, including differential fertility, mortality and migration rates, the IIASA Population and Just Societies Program 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.
Model
The aim of this model is to provide a unified framework for studying and mitigating the economic and demographic consequences of increasing inequality. The MIWAG model is a rich life-cycle model that allows to trace out how initial heterogeneity is transmitted into unequal behaviours and outcomes over the lifecycle. It can be used for studying how different policies lead to different dynamics over the life-cycle and how this affects intra-generational inequality. Moreover, this life-cycle model can be implemented in an overlapping generations framework, which also allows studying how inequality evolves across cohorts (inter-generational inequality).
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