Central to projects like CD-LINKS, CRESCENDO, COACCH, MEDEAS, and SET-Nav, all requiring scenario modelling that links climate, energy, and development pathways.
INTERNATIONALES INSTITUT FUER ANGEWANDTE SYSTEMANALYSE
International systems analysis institute building integrated climate-energy-land models that connect environmental science to policy and SDG decision-making.
Their core work
IIASA is an international research institute based near Vienna that specializes in systems analysis of global environmental, economic, and social challenges. They build large-scale integrated assessment models that connect climate science, energy systems, land use, and population dynamics to inform policy decisions. Their core strength is quantitative modelling — translating complex Earth system data into scenarios and pathways that governments and international bodies use for climate policy, food security planning, and sustainable development strategies. They are a go-to partner when a project needs rigorous cross-sector modelling that links environmental change to socio-economic outcomes.
What they specialise in
Coordinated LANDSENSE and WeObserve citizen observatories, and participated in ConnectinGEO, ERA-PLANET, VERIFY, and e-shape — all focused on building observation networks and monitoring infrastructure.
Contributed agricultural and land-use modelling in SUSFANS, MAGIC, CIRCASA, SUPREMA, and forest-related projects like DIABOLO and ALTERFOR.
Worked on climate adaptation in Nunataryuk (permafrost), Phusicos (mountain natural hazards), COACCH (climate change costs), and EUCP (climate prediction).
Coordinated EmpoweredLifeYears on sustainable human wellbeing demographics and participated in ATHLOS on ageing trajectories, reflecting deep population analysis capability.
Recent keyword surge in machine learning, appearing in later projects like CARES (remote emission sensing with ML) and SDG-related work applying data science to sustainability challenges.
How they've shifted over time
In the early H2020 period (2015–2018), IIASA focused heavily on Earth observation infrastructure, forest monitoring, and foundational integrated assessment modelling — building the data systems and scenario frameworks that connect climate science to policy. From 2019 onward, a clear shift emerged toward machine learning applications, SDG alignment, climate sensitivity research, and disaster risk management, suggesting a move from model-building toward applied decision support and AI-enhanced analysis. The co-design keyword appearing in recent projects signals a growing emphasis on producing policy-ready outputs shaped by end-user needs rather than purely academic modelling.
IIASA is moving from building foundational climate-energy models toward applying machine learning and co-design methods to deliver actionable, SDG-aligned decision support tools.
How they like to work
IIASA operates overwhelmingly as a trusted partner (47 of 57 projects), joining large international consortia where their modelling and systems analysis expertise complements domain-specific partners. When they do coordinate (10 projects), it tends to be in areas where they have clear methodological ownership — citizen observatories, demographic research, or climate-development linkage studies. With 643 unique partners across 69 countries, they function as a network hub rather than a loyal-partner organization, making them easy to approach for new consortia.
IIASA has collaborated with 643 unique partners across 69 countries, making them one of the most broadly connected research institutes in H2020. Their network spans well beyond Europe into global partnerships, consistent with their mandate as an international institute with member countries on multiple continents.
What sets them apart
IIASA occupies a rare niche as a truly international, government-backed research institute focused on systems analysis — meaning they connect dots across climate, energy, food, and population that siloed institutes cannot. Their integrated assessment models (like those used in IPCC scenarios) are globally referenced, giving any consortium immediate credibility with policy audiences. For partners, the key advantage is access to modelling infrastructure and scenario expertise that would take years to build independently, plus a contact network spanning 69 countries.
Highlights from their portfolio
- EmpoweredLifeYearsLargest single grant (EUR 1.8M) as coordinator, combining demography with sustainability — an unusual cross-disciplinary bet for a climate-focused institute.
- CD-LINKSCoordinated a EUR 1.3M project linking climate and development policies across international networks, directly shaping the integrated assessment frameworks used in global climate negotiations.
- CARESDemonstrates IIASA's expansion into transport emissions with real-world remote sensing and machine learning — a significant sector diversification from their traditional climate modelling base.