Imagine a digital nervous system that lets cities and governments 'feel' how people are reacting to climate change in real-time. It uses AI to spot where people are struggling or where they are ready to change their habits. It's like a smart feedback loop that helps leaders design better rules and tools that people actually want to use.
Governments struggle to implement climate policies because they lack real-time data on citizen behavior and trust. This leads to low adoption of resilience measures and a disconnect between policy and public needs.
A digital ecosystem MVP featuring NeuroClimaLens (monitoring), NeuroClimaDialogues (deliberation), NeuroClimaBot (AI assistant), and NeuroClimaLearn/Play (educational tools).
If you are a municipal software provider dealing with low citizen adoption of green policies — this project developed a digital ecosystem that monitors behavioral adaptation and identifies social tipping points. This allows for the creation of more effective, user-centered urban resilience plans.
If you are a corporate training platform dealing with a lack of engaging climate literacy content — this project developed NeuroClimaLearn and NeuroClimaPlay. These tools provide a validated way to scale behavioral change and climate resilience through AI-enhanced learning.
If you are a public policy consultancy dealing with public distrust during climate transitions — this project developed NeuroClimaDialogues for large-scale deliberation. This helps your clients create a bidirectional relationship between institutions and citizens to foster trust.
Based on available project data, no specific pricing or cost structure has been disclosed.
Yes, the project includes a Reference Architecture designed for scalability and plans to validate the solution through pilot demonstrations in at least 5 sites.
Based on available project data, specific IP and licensing terms are not provided, though the project aims for long-term exploitation and sustainability.
The project developed a Reference Architecture that ensures modularity and interoperability for the digital infrastructure.
The project period runs from 2024-01-01 to 2026-12-31, with the MVP already delivered in the first 18 months.
The consortium is heavily weighted toward commercial application, with a 60% industry ratio comprising 9 SMEs. This suggests a strong drive toward market-ready tools rather than pure academic research. With 15 partners across 11 countries, the project has a broad European reach, ensuring the AI tools are tested across diverse regulatory and social environments.
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