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Assessing management impacts on the BioGeoChemistry of ecosystems

The IIASA/ESM based BGC-MAN model was calibrated and validated with TrEco data for the dominant ecosystems and land use forms of the Congo basin, including virgin forests, managed forests, forest fallows after shifting cultivation and savannahs.

A tool to assess temporal verification of net greenhouse gas emission changes under the Kyoto Protocol.

A dataset to understand near-term emissions mitigation and adaptation efforts

A modeling approach to improve financial disaster risk management

A model for studying the ecology and evolution of plant communities

A tool for exploratory statistical analysis on land use data.

A software tool to to aggregate several probability distributions into a single integrated one.

The "IIASA Logistic Substitution Model II" (LSM2) is a software tool to estimate the parameters of technological growth and substitution processes. Applications include marketing research, scenario development, historical transition analyses, as well as meta-analysis across many individual technologies.

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.

OSCAR is a model of reduced-complexity that describes the interactions between large-scale components of the Earth system that relate to anthropogenic climate change. Its modules are calibrated to emulate the behavior of complex process-based models.

Data on built-up surfaces around the world were collected via a Geo-Wiki campaign, where this data set is intended for use as an independent validation of global maps of built-up surfaces.

This Scenario Explorer presents an ensemble of quantitative, model-based pathways underpinning the Sixth Assessment Report (AR6) of Working Group III by the Intergovernmental Panel on Climate Change (IPCC), entitled Climate Change 2022: Mitigation of Climate Change.

Data on the key drivers of tropical forest loss were collected using the Geo-Wiki platform. The data, collected within a geographical area of 30 degrees North and South of the equator, are openly available and are already being used in different studies.

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

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

The Geo-Wiki Project is a global network of volunteers who participate in earth observation driven citizen science via the Geo-Wiki tool.

The GROW Citizen Observatory was developed in a Horizon 2020 funded project to engage citizens (interested in growing food and improving the health of their soils) in sharing their data with a large community of growers across Europe.