Search for models

The AJUST 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.

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.

A regional to global model designed to simulate and predict the dynamics of water quantity and quality under the influence of various drivers including; climate change, land-use transitions, socio-economic developments, and policy interventions. 

WADE provides easy access to the innovative dynamic metrics of aging developed at IIASA. These metrics take the changing characteristics of people into account, thereby providing policymakers, researchers, and educators with a view of aging appropriate for our changing demographic environment. All indicators are based on data from the UN’s World Population Prospects 2022 and 2024. They cover the period 1950 to 2100 and are disaggregated by region, subregion, and country. Both types of indicators can also be produced with user-defined data.

The new website is designed to provide latest information on climate mitigation and climate impacts, and aims to be a comprehensive resource for individuals, businesses, and policymakers looking to use some of the latest data from research on climate impacts and net zero mitigation pathways. The CSE website features a range of content, including and interactive map of climate change impacts, national and regional data dashboards of impacts and mitigation pathways, and interactive articles on a range of climate topics and countries.

CHILLED is a global scope, spatially explicit and physically based model for estimation of building space heating and cooling requirements. It combines high resolution climate data, building physics representation and socioeconomic and behavioural data. CHILLED is used for estimating long term growth in demand for space conditioning (heating & cooling), the associated energy demands and carbon emissions, and the population lacking cooling access (cooling gap).

A set of global zoning layers are provided that identify broad homologues of foodscape classes. These are comparable in a minimum set of biophysical and management characteristics and can help to plan for possible interventions and leverage points for more sustainable agriculture.

The Horizon 2020 project ENGAGE quantifies avoided climate change impacts through analysis of the exposure and associated costs for individual sectors and regions to climate change at different levels of and timing for global peak temperature. A particular focus is placed on quantifying the benefits (or trade-offs) of climate policies on biodiversity, food, poverty, water, air quality, health, and employment, particularly for vulnerable populations.

IIASA researchers teamed up with NGFS to publish an updated set of climate scenarios to assess future climate-related risks and influence sustainability goals.

This Scenario Explorer hosts the results from the Integrated Solutions for Water Energy and Land project (ISWEL).

A host of scientific chemistry and climate model experiments explore responses of the global atmosphere and climate systems to possible future changes in emissions of air pollutants and greenhouse gases. The Pollution Management research group (formerly AIR program) has used its GAINS model to develop a set of global emission fields of nine substances that provide consistent sets of future sectoral emissions for well-specified assumptions on economic development and the effectiveness of dedicated emission control policies.

This high-resolution electrification dataset for Sub-Saharan Africa is developed at the Energy Program of the International Institute for Applied Systems Analysis (IIASA) in cooperation with the Fondazione Eni Enrico Mattei (FEEM).

The CAMALIOT mobile app for crowdsourcing is used to collect data transmitted by the Global Satellite Navigation System (GNSS) for scientific applications such as weather forecasting and improving positional accuracy

A model to reproduce historical wildfire events and to project future burned areas, as well as to assess climate change impacts and adaptation options.

Stochastic Quasi-Gradient (SQG) methods have been developed for solving general optimization problems without exact calculation of objective function and constraints (let alone of their derivatives). SQG methods enable a sequential revision of approximate solutions towards the optimal using newly acquired information on the system, obtained via either direct on-line observations or(and) simulations. 

The framework for eco-genetic modeling offers flexible tools for exploring the course and rates of multi-trait life-history evolution in natural populations.

The Working Group on Fisheries-Induced Evolution (WGEVO) of the International Council for the Exploration of the Sea (ICES) has developed a general framework for investigating eco-evolutionary changes in fish stocks and their utilities in terms of ecosystem services and for assessing the management implications of fisheries-induced evolution through Evolutionary Impact Assessments (EvoIAs).

The complexity and dynamical nature of community interactions make modelling a useful tool for understanding how biodiversity patterns in communities develop over time and how they respond to external perturbations.

Ensuring that common goods and open-access resources—everything from clean air and the global climate to the internet and civil security—are equitably and fairly available to everyone requires incentive mechanisms.

Despite modern medical interventions, infectious diseases continue to generate huge socio-economic losses.