GENeCITY · Generative Agentic AI and Explainable Digital Twins for Climate-Neutral Cities

GENeCITY will advance the transition of European cities towards climate neutrality by developing a generative, human-centric and explainable Digital Twin (DT) federated framework. Building on interoperable Local Digital Twins (LDTs), multimodal static and dynamic data streams and novel AI models, the project will provide cities with a powerful federated architecture to translate climate policies into measurable, time-bound and locally adapted objectives. The AI-driven Scenario Engine (AI-SE) will combine Retrieval-Augmented Generation (RAG), explainable forecasting and participatory backcasting to generate multiple 'what-if' scenarios addressing key urban challenges, oriented on heat stress, air pollution, mobility patterns and urban greening. Through an inclusive approach, GENeCITY integrates citizen science, low-cost sensors and participatory mobile applications with Copernicus and municipal datasets, ensuring FAIR, high-quality and trustworthy data ecosystems. Explainable AI (XAI) methods and transparent governance frameworks will build trust in AI-assisted decision-making while reducing the environmental footprint. Interactive visualisation dashboards and multilingual interfaces will foster open dialogue across the urban quadruple helix, empowering citizens, policymakers, researchers and businesses to jointly design resilient futures. The project will validate its solutions in five (5) pilos (Athens, Riga, Murcia, Amersfoort, and Skellefteå) and upscale them via an acceleration programme in nine (9) replicator cities, contributing to Climate City Contracts and EU sustainable strategies for urban climate neutrality. GENeCITY will deliver a toolkit of governance blueprints, federated digital services and participatory methods, enabling scalable replication across Europe. By doing so, it will redefine how cities leverage AI and Dts to achieve the EU Mission of 100 Climate-Neutral and Smart Cities by 2030.