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

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.

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.

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.

In the IIASA Strategic Initiative fairSTREAM, we created a toolkit of participatory methods that can be adapted to facilitate co-production of knowledge. Co-produced knowledge integrates diverse scientific and social discourses to create relevant and legitimate opportunities in the context of complex problems. The TRUST Strategic Initiative, will expand this toolkit, highlighting its evolving nature.  

The MORIBE model is a framework which allows for the incorporation of stochastic elements in the dynamic decision making of different economic actors.  

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. The Julia package recently received and update to version v0.2.0.

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 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 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.

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.

The concept of nexus thinking has gained traction amongst the applied research community to examine cross-sector linkages between land, water, and energy strategies. A nexus approach identifies the interactions among sectors to better understand the synergies and trade-offs involved in meeting future resource demands in a sustainable way.

Crop Observe App is an application for collecting crop type, phenological stage, visible damage and management practices.

Several data collection activities related to forest cover, forest biomass and forest management have been coordinated by IIASA’s NoDES group in the past

Data collection using mobile technology has facilitated the collection of in situ or ground-based data on land use/land cover including geo-tagged photographs that document the landscape.

A Geo-Wiki campaign on capturing data on cropland extent took place in September 2016, collecting data at 36,000 unique locations around the world

Data on agricultural field size has been collected via Geo-Wiki campaigns, where this type of data can provide some indication of agricultural practices, and it helps us to determine what types of satellite data are needed for agricultural monitoring in different parts of the world.

Geo-Wiki is an online application for the visualization and crowdsourcing of land cover and land use data, where the first data collection campaigns ran during 2011 and 2012.

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.

SHELscape is a spatially-explicit agent-based model for understanding short-run post-natural disasters non-linear adjustment processes in a multi-market framework.