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.
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.
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.
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.
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.
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.
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 Integrated Catastrophe Analysis and Management Modeling (ISCRiMM) approach addresses systemic risks by analyzing socio-economic and structural vulnerabilities, employing statistical and machine learning methods, and enabling stakeholders to update vulnerability indices for effective risk management.
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.
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.
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).
This application serves as an expansion of the Bayesian Reconstruction of Populations and Vital Rates by Educational Attainment (BayesEdu) project. Its objective is to integrate existing demographic data to generate accurate estimates of population sizes and vital rates categorized by educational attainment, while also considering associated uncertainties.
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).