Research Project
Natural and man-made disasters are causing huge losses, which are likely to rise due to the risk ignorance, population and development growth in disaster-prone areas, as well as interdependencies among sectors, regions, locations, increasing current and future exposure and vulnerability. The interdependencies among systems and regions involve interactions between socio-economic, natural, technological systems. They resemble complex networks connected through various “balance” relations (supply-demand, input-output, inflow-outflow) at different levels. Disruption of such networks can trigger systemic risks associated with critical imbalances, exceedances of vital thresholds, which affect provision of goods (food, energy, water), environmental norms, endanger population and developments, thus undermining socio-economic-food-energy-water NEXUS security (SEFEW NEXUS security) at local, regional, national levels with possible global spillovers.
Co-development of integrated and multi-disciplinary advanced system analyses and decision support methods and tools is essential for stakeholders and experts to build up regional resilience through timely investments into disaster preparedness and response measures enabling to properly mitigate and adapt to systemic risks of all kinds.
Research Project
Recent technological and scientific advancements have improved our understanding of natural hazards. However, despite efforts, natural disasters continue to take a heavy toll on communities, resulting in loss of life, environmental impact, and economic damage. The MEDiate project aims to use a resilient-informed, service-oriented, and people-centered approach for developing a disaster risk management decision-support system by considering multiple interacting natural hazards and their cascading effects, changes in hazards, vulnerability, and exposure.
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
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
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 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
LAMASUS builds on i) decades of experience in direct policy support, ii) unique modeling tools, such as GLOBIOM, the only model that integrates agricultural and land use sectors, and CAPRI, MAGNET and CLUE, which underlie JRC’s land use policy assessments, and iii) novel approaches mobilizing machine learning and citizen science.
Research Project
The overarching aim of this project was to produce comprehensive, multi-perspective, and robust quantitative migration scenarios to support various areas of European migration policy, based on cutting-edge developments in conceptualising, explaining, estimating, and forecasting migration.