Research Project
The aim of the SPES project funded by Horizon Europe scheme of the European Union is to generate new knowledge and evidence about the nexus between economic growth, human flourishing and sustainability, contributing to the creation and uptake of a novel integrated framework fostering the transition towards sustainable human development in European countries and regions.
Research Project
To bend the curve on biodiversity loss, IIASA researchers are co-producing transformative pathways that are workable and effective in a new EU Horizon funded project. Using the latest modelling tools to understand the impact of worldviews and differing equity principles on biodiversity policy outcomes, we will support stakeholders to produce policy pathways that are just and innovative to improve biodiversity across Europe.
Research Project
The aim of the Premium_EU project funded by Horizon Europe is to explore the impacts and benefits of European migration - between and within countries - and how it contributes to the development of vulnerable regions in Europe. The consortium of researchers will utilize quantitative modeling and qualitative case studies to better understand and model the socioeconomic and demographic impacts of migration and will provide user-friendly tools to policymakers to support evidence-based policymaking.
Research Project
BIOCONSENT provides novel scientific knowledge and policy support by integrating socio-ecological approaches to assess outcomes of alternative conservation and restoration measures on forest biodiversity and ecosystem services provision across spatial and temporal scales at the biodiversity-forest-climate-water nexus.
Research Project
EYE-CLIMA will support National Greenhouse Gas Inventories (NGHGIs), and thus the Paris Agreement, by developing independent observation-based methods for verifying emission estimates of greenhouse gases and the aerosol species, black carbon. Independent verification is much needed and is recognized by the IPCC in their 2019 refinement of the guidelines for NGHGIs.
Research Project
GRANULAR is a project that will last for four years, involving different disciplines and countries, with the aim of creating new datasets, tools, and methods to better understand rural areas. By doing this, we hope to gain new insights into the unique characteristics, dynamics, and drivers of change in rural areas. Using this newly generated and collected knowledge, we aim to help those involved in rural development to design place-based policies that are specifically tailored to the needs of each individual area. Ultimately, GRANULAR hopes to support rural actors in their efforts to promote sustainable territorial development.
Research Project
Even though Africa is home to some of the best renewable resources on the planet, almost half of the continent's population does not have access to modern energy. The project OpenMod4Africa will support providing access to clean, affordable energy to everyone by creating an open modelling toolbox for long-term energy transition pathways for Africa.
Research Project
The FireLinks COST Action, also known as "Fire in the Earth System: Science & Society," aims to establish a robust and interconnected network of scientists and practitioners dedicated to forest fire research and land management. The project brings together experts from various disciplines, including fire dynamics, fire risk management, fire effects on vegetation, fauna, soil, and water, as well as socio-economic, historical, geographical, political perception, and land management approaches.
Research Project
The overarching objective of DISCC-AT is to inform decision makers in Austria about group-specific social vulnerabilities to key climate risks and thereby to enable the implementation of just and cost-effective adaptation measures as well as to in-crease adaptive capacities of private households where most needed.
Research Project
Dynamic Global Vegetation Models (DGVMs) are invaluable for understanding the biosphere. However, as currently implemented by the international research community, these models suffer from a challenging accumulation of uncertainty. This project aims to address this problem by developing the foundations of a new generation of models centered on a “missing law” – adaptation and optimization principles rooted in natural selection.