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.
A host of scientific chemistry and climate model experiments explore responses of the global atmosphere and climate systems to possible future changes in emissions of air pollutants and greenhouse gases.
The Pollution Management research group (formerly AIR program) has used its GAINS model to develop a set of global emission fields of nine substances that provide consistent sets of future sectoral emissions for well-specified assumptions on economic development and the effectiveness of dedicated emission control policies.
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.
We provide a global spatially explicit characterization of terrestrial and marine habitat types, as defined in the International Union for Conservation of Nature (IUCN) habitat classification scheme, which is widely used in ecological analyses, including for assessing species’ Area of Habitat. The maps broaden our understanding of habitats globally, assist in constructing area of habitat (AOH) refinements and are relevant for broad-scale ecological studies and future IUCN Red List assessments.
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.
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.
Stochastic Quasi-Gradient (SQG) methods have been developed for solving general optimization problems without exact calculation of objective function and constraints (let alone of their derivatives). SQG methods enable a sequential revision of approximate solutions towards the optimal using newly acquired information on the system, obtained via either direct on-line observations or(and) simulations.
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).