Swedish SME building agent-based social simulations and citizen engagement tools for energy and climate policy.
URBANISLAND AB is a small Swedish company that builds computational social simulations — primarily agent-based models — to understand how people respond to energy and climate policies. Their core offering is translating complex societal transitions into executable models that policymakers and researchers can use to test interventions before deploying them in the real world. In their most recent work they have moved beyond backend modeling into citizen-facing digital tools, developing smartphone applications and citizen science frameworks that directly engage individuals in climate action and goal-setting. They sit at an unusual intersection of behavioral economics, computational social science, and climate policy — providing a social dimension that pure engineering or natural science consortia typically lack.
Both SMARTEES and CAMPAIGNers list ABM and social simulation as core methodologies, with SMARTEES explicitly applying Agent-based Computational Economics to energy efficiency transitions.
SMARTEES positioned their tool as a 'policy sandbox' enabling policymakers to test social innovation scenarios before real-world deployment.
CAMPAIGNers applies behavioural modelling and integrated assessment to understand how individuals can shift toward low-carbon lifestyles on climate mitigation pathways.
CAMPAIGNers introduced smartphone app development and citizen science frameworks, marking a shift from pure simulation into participatory digital tools.
Both projects address the social dimensions of energy and climate transitions, linking community behaviour and institutional policy across SMARTEES and CAMPAIGNers.
In their first project (SMARTEES, 2018–2021), URBANISLAND focused squarely on the computational back-end: agent-based models, economic simulation frameworks, and policy sandbox tools designed to model how communities adopt energy efficiency measures. By their second project (CAMPAIGNers, 2021–2024), the focus shifted visibly toward the human front-end — behavioural change at the individual level, citizen movement, integrated climate pathway modelling, and a smartphone app to engage citizens directly. The trend is a clear move from building models that advise policymakers to building tools that activate citizens, suggesting growing capability in participatory and digital engagement design alongside their established simulation expertise.
URBANISLAND appears to be evolving from a pure modelling contributor into an organisation that also designs citizen-facing digital products — making them an increasingly relevant partner for projects that need to bridge computational climate science and public engagement.
URBANISLAND has participated exclusively as a consortium partner, never as coordinator, across both of their H2020 projects. Despite only two projects, they have accumulated 36 unique partners across 20 countries — an unusually broad network for an organisation of this size, suggesting they are valued as a specialist contributor that diverse consortia actively seek out. Their pattern indicates they embed well as a focused methodological contributor rather than as a project manager, which means collaboration with them is likely straightforward but they are unlikely to initiate or lead joint project applications.
URBANISLAND has built a surprisingly wide network for a two-project SME: 36 unique consortium partners spanning 20 countries, reflecting the large, multi-disciplinary consortia typical of Societal Challenges RIA projects. Their collaborations are exclusively European in scope, with no evidence of a tight regional cluster or repeated partnerships.
URBANISLAND fills a gap that most energy and climate consortia struggle with: the social and behavioural dimension of transition. While most partners in energy RIAs bring engineering, materials, or systems expertise, URBANISLAND brings agent-based social simulation and, increasingly, citizen engagement design — capabilities that are rare in private-sector SMEs. For a consortium coordinator building a team around a climate or energy behaviour project, they represent a ready-made social science modelling capacity without the overhead of a university research group.
