Imagine trying to get a whole neighborhood to change how they live to survive a heatwave or flood, but nobody agrees on what to do. This work figures out the 'tipping points' that make people actually change their habits. It uses real-world testing sites to create a playbook for getting communities to act together before disaster strikes.
Technical climate solutions often fail because people refuse to change their habits or local governments are too disorganized to implement them. This creates a gap between having a scientific plan and actually seeing it work on the ground.
A multi agent computer model for simulating policy scenarios and a set of behavioral change toolkits including Empathy Maps and Living Lab guides.
If you are a city development consultancy dealing with low public adoption of green infrastructure — this project developed behavioral change toolkits that increase citizen engagement and readiness for adaptation.
If you are a climate risk insurance provider dealing with high payout costs due to community inaction — this project developed a multi agent computer model that allows for a realistic analysis of future policy scenarios to reduce risk.
If you are a sustainability SME dealing with fragmented local governance when implementing climate projects — this project developed a Living Lab guide and empathy maps to better align local interests and accelerate change.
Based on available project data, no specific pricing or commercial costs for the toolkits are provided; the project is funded by an EU contribution of EUR 3,666,685.
The project uses 6 diverse European Living Labs to validate and upscale its findings, suggesting the methodology is designed for broad geographic and socio-economic scaling.
Based on available project data, specific licensing terms are not mentioned, though the project aims to deliver a multi agent computer model for European socio-ecological systems.
The project provides policy recommendations and governance mechanisms to help communities and businesses align with climate change adaptation goals.
The project period runs from 2024-01-01 to 2026-12-31, meaning final results will be available by the end of 2026.
The consortium is research-heavy with 5 universities and 2 research organizations, but maintains a practical edge with 2 industry partners and 1 SME. With an 18% industry ratio, the project is primarily driven by academic insight but validated through 11 partners across 7 countries, ensuring the tools are tested in diverse European markets.
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