Imagine building a city's defense against heatwaves or floods, but making sure the poorest neighborhoods aren't left behind or pushed out by rising prices. This work uses AI to map out who is most at risk and creates fair plans to protect everyone. It's like a smart GPS for city planners to ensure green upgrades benefit the whole community, not just the wealthy.
City planners often ignore the needs of marginalized groups during climate adaptation, leading to 'green gentrification' where only wealthy areas benefit from resilience upgrades.
AI-driven risk assessment models and strategies against gentrification to ensure equitable urban climate adaptation.
If you are a city planning consultancy dealing with social inequality in urban development — this project developed AI-driven models that integrate justice principles into risk assessments. This allows you to provide data-backed equity reports for municipal clients.
If you are a GovTech AI startup dealing with a lack of social metrics in climate software — this project developed scalable innovation for risk assessment. You can integrate these equity-oriented models into your urban resilience platforms.
If you are a sustainable residential developer dealing with gentrification risks in climate-adaptive zones — this project developed strategies against gentrification. This helps you design projects that maintain socio-economic equity while increasing resilience.
Based on available project data, no specific pricing or cost structures are provided as the project is in the funding phase.
Yes, the project focuses on scalable innovation and the replication of effective solutions across different cities and regions.
Based on available project data, there is no mention of specific IP or licensing agreements in the project description.
The project runs from 2025-11-01 to 2028-10-31, meaning results will be finalized by late 2028.
The project uses AI-driven models to integrate climate justice principles into existing risk assessments and data-driven solutions.
The consortium is diverse with 16 partners across 7 countries, showing strong international reach. While it is heavily weighted toward non-industry entities (10 'Other' and 3 Research), it includes 4 SMEs and 2 industry partners, providing a 12% industry ratio that suggests a focus on practical application and potential commercialization of the AI tools.
Contact the Basque Centre for Climate Change (BC3) in Spain
Contact us to track the AI-driven risk assessment deliverables from this project.
