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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.

A consortium consisting of the SYRR group of IIASA, ETH Zurich, and the InsuResilience Solutions Fund (ISF) will undertake macro-level socio-economic risk modelling, scenario assessment and policy analysis to understand how public sector climate and disaster risk financing strategies interact and complement risk reduction interventions in order to strengthen the resilience of vulnerable countries. IIASA will build on its CatSim Model to not only assess fiscal implications but also study broader resilience impact on relevant case study countries studied. The project will finally seek to develop recommendations on the design of smart support regarding comprehensive risk management for the case study countries.

WorldCereal is funded by the European Space Agency (ESA) and aims to develop an efficient, agile and robust EO based system for timely global crop monitoring at field scale.

The objective of this project is to quantify feedstock expansion onto land with high carbon stock, as input for the determination of high ILUC fuels. IIASA oversees the global mapping of feedstock expansion into high carbon stock land.

The project "Systems analysis of Patterns of COVID-19 spread in Europe and Russia" aims at developing an improved understanding of effectiveness of government policies in limiting the transmission of the COVID-19 virus in the population, and at assessing impacts of relevant socio-economic events on the dynamics of COVID-19 infections.

The joint project “Integrated modeling for robust management of food-energy-water-land use nexus security and sustainable development” between National Academy of Sciences, Ukraine (NASU), and IIASA for the period from 2022 to 2026 is the continuation and the new stage of the joint NASU-IIASA project “Integrated robust management of food-energy-water-land-social nexus for sustainable development” completed in the period from 2017 to 2021 (IIASA Policy brief, 2017; Zagorodny et al., 2013, 2014, 2018, 2020). In the new research period, we address urgent problems of integrated modeling and policy analysis through models’ linkage and distributed optimization of disintegrated distributed food-water-energy-environmental models, precautionary and adaptive dealing with systemic risks and their implications for Food-Energy-Water-Environmental-Social (FEWES) systems security NEXUS management in Ukraine and globally.

Learning from COVID-19 and other global threats, the TwR project aims to propose levers of change to trigger systemic transformations in societal decision-making systems which should radically improve both the resilience of our society to sustainability threats and its agility to adapt to new opportunities and needs.    

Existing national mitigation pledges and commitments place the world on a path well above the climate goal of the landmark Paris Agreement.  Should the world exceed this limit, it is possible to draw down temperature through sustained use of so-called net-negative emissions (i.e., emitting less CO₂ than is taken up by technical and natural processes). RESCUE will expand our current knowledge by exploring the sensitivity of the Earth system to deep mitigation futures which achieve the Paris Agreement goal under different regimes of dependence on net-negative emissions and carbon-dioxide removal.

ESM2025 is an ambitious European project on Earth System Modelling that aims to develop the next generation of Earth System Models (ESMs)

SATFARM Services aims to derive new remote sensing indicators of climate-smart agricultural practices that provide enhanced resilience in the face of weather extremes resulting of climate change

A multidisciplinary consortium of leading European universities, research institutes, companies, NGOs, and practitioners in the field of disaster risk reduction has started a major EU-funded project called MYRIAD-EU to improve our understanding, assessment, and management of disasters caused by combinations of different kinds of natural hazards (e.g. climate, hydrological, geological, and biological hazards).

'Risk-layering' strategies to reduce, retain and transfer disaster risk not only protect productive assets and lives, but implemented appropriately, could yield a number of additional benefits that could enhance wellbeing and resilience. Yet, conventional static macroeconomic models are not capable of analysing how alternative fiscal resource allocations to risk-layering options may affect developing countries’ growth trajectories under the impact of climate change.

Modification and adjustment of the Full Verified Carbon Account of Forest Ecosystems (Ukraine) based on integration of ground research, remote sensing data and regional models applied to forest ecosystems of Ukrainian Polissya

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.

IIASA is quantifying the responses of ecosystems and society in a world increasingly rich in N and C but limited in P. The ongoing shifts in C:N:P balances in ecosystems will necessarily affect the structure, function and diversity of the Earth system.

World Cover aims to produce, deliver and validate, as fast as possible, a global land cover map at 10m resolution with a mapping of a minimum of 10 land cover classes and a minimum overall accuracy of 75%. The project is user driven, aiming at a maximum impact of the global land cover map to a set of end-user organizations.

RapidAI4EO aims to advance rapid and continuous land monitoring with state-of-the-art AI solutions. Under the sponsorship of the European Union’s Horizon 2020 program, RapidAI4EO will establish the foundations for the next generation of Copernicus Land Monitoring Service (CLMS) products.

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