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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 SIIA framework combines principles from technology assessment ("Technikfolgenabschätzung") with process and systems engineering across all life cycle stages. Its core focus is on the integration of processes, systems, and sectors; the role of storages, batteries, and securities in temporal integration; and the interaction of networks, grids, infrastructure and trade routes for spatial integration.

The SPES Explorer – European Pressing Issues Dashboard is a web-based interactive application that visualises how citizens across European countries have perceived their most pressing national problems over time. It combines country-level maps with time-series charts and offers optional breakdowns by age group and gender. Users can explore, compare, and download harmonised indicators derived from Eurobarometer surveys. SPES examines productivity, equity, sustainability, participation and human security. The dashboard documents citizens’ perspectives by showing how people prioritise problems in their countries. It supports scenario building and policy dialogue by revealing shifts in perceived challenges that may motivate, accelerate, or constrain sustainable development pathways.

For studying optimal policies and interventions to inform regional decision makers facing technological, economic and social transitions, we have developed the Dynamic Framework for Regional Socio-Economic Transitions (D-RESET).

Stakeholder engagement is a crucial part of informed and sustainable decision-making. The first step in stakeholder engagement is to understand their vision, their roles, and their expectations. The Stakeholders Exploratory Vision Analysis (SEVA) is a flexible exploratory tool to analyze the stakeholders’ vision. SEVA is designed to be easy to use yet provide flexibility so it can be applied in different fields for stakeholder engagement.

The Rapid Impact Model Emulator (RIME) and its probabilistic extension, RIME-X (Rapid Impact Model Emulator Extended), are lightweight, open-source software tools developed at IIASA to bridge the gap between global emissions pathways and climate impacts and risk assessment. These emulators enable researchers to explore thousands of potential futures in seconds, facilitating a deeper integration between the climate impact (IPCC WGII) and mitigation (IPCC WGIII) communities. 

How can education shape Africa’s demographic and economic future? The African Human Capital Data Sheet 2026 presents new evidence on population trends by level of education, skills, and demographic transitions across the African continent.

While the full model is under review and development, this is an abbreviated description of its main purpose, components, assumptions, and variables, but without some details and equations.

Guidebook for designing and running in-person workshops.

These annual migrant flow estimates provide a comprehensive view of how people move between countries worldwide. Using advanced deep-learning techniques, the dataset combines official statistics, international migration databases, and innovative data sources to generate consistent and reliable estimates, including for countries with limited migration data. The result is a valuable resource for analyzing global migration trends and patterns over time.

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.

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 linkage algorithms solve the problem of linking models, e.g. sectorial and/or regional, into an inter-sectorial inter-regional integrated model. Linkage enables to avoid “hard linking” of models in a single code, which saves the programming time and enables parallel distributed computations of individual models instead of a large scale integrated model. Models linkage preserves the structure of the original models taking into account critically important details, which are usually missing in aggregate models.

Scenathons: Interactive Scenario and Development Pathway Planning

Where are the best places for a romantic date? Where can you skate? Where is it cool on a hot summer's day? Find the perfect places to spend the day and share them with the City Oases App!

DYNAMMICs is a macroeconomic growth modeling framework that quantifies the many co-benefits of DRR investment for multiple hazards.

The current state of the world affairs calls for a revival of systems thinking to improve decision-making. Recognizing that the tightening of socio-economic links heightens the need for holistic responses, that disciplinary and sectorial solutions are of limited effectiveness and efficiency, and that big data is not generating integrative perspectives by itself, highlights the need for policymakers to become thoroughly familiar with the promises and pitfalls of systems analysis. Challenges are systemic, dynamic, and interconnected, and systems analysis, coupled with an improved anticipation, provides a coherent methodology and necessary tools to develop new approaches so urgently required for more coherent and effective policy planning.