Search

The GROW Observatory app is a service stemming from the GROW Observatory project, a European Citizen Science project on growing food, soil moisture sensing and land monitoring that ran from 2016-2019.

The Postharvest Storage App is a tool for collecting information on the types of storage mechanisms used by farmers for storing their harvests.

The FRMC was created by the Zurich Flood Resilience Alliance in 2013 and is an innovation in community flood resilience theory and practice. It allows users to generate evidence about the ways in which a given area or community is already resilient to floods, as well as providing a guide to further develop this resilience

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

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

A tool for exploratory statistical analysis on land use data.

A model for studying the ecology and evolution of plant communities

A modeling approach to improve financial disaster risk management

Geo-Wiki provides anyone with the means to engage in monitoring of the earth's surface by classifying satellite, drone or ground-level imagery. Data can be input via desktop or mobile devices, with campaigns and games used to incentivize input. These innovative techniques have been used to successfully integrate citizen-derived data sources with expert and authoritative data to address pressing policy-related questions (e.g. European environmental policy, SDG indicators and more).

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!

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.

We are developing and applying a range of methods for integrated multi-attribute evaluation under risk, subject to incomplete or imperfect information, and evaluations of decision situations using imprecise utilities, probabilities, and weights, as well as qualitative estimates between these components derived from sets of weight, utility and probability measures. To avoid some mathematical aggregation problems when handling set membership functions and similar, we use higher-order distributions for better discrimination between the possible outcomes.

Scenathons: Interactive Scenario and Development Pathway Planning

A dataset for quantitative projections of the so-called Shared Socioeconomic Pathways (SSPs) and related Integrated Assessment scenarios.

A dataset that allows users to browse, select, visualize and download demographic data and population projections.

Platform to assess the heterogeneity of disaster risk.

By applying multidimensional demographic models that incorporate differential fertility, mortality, migration, and educational attainment, IIASA's Population and Just Societies Program has developed the Demographic Data Sheets (DDS), which provide population projections by age, sex, and education for Europe, Asia, and the world. The DDS also present indicators on human capital and innovative measures of aging developed at IIASA, offering insights into demographic change across world regions and individual countries. These data products build on IIASA’s long-standing expertise in population forecasting and multidimensional demographic modeling.

In the framework of the Centre of Expertise on Population and Migration, a research partnership between IIASA's World Population Program and the European Commission's Joint Research Centre, IIASA provides science-based knowledge on migration and demography to support EU policy.

IIASA researchers have developed multi-dimensional/multi-state models to study population dynamics at the global, regional, national and sub-national level.

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.