Project Details
Description
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
key urban challenges, oriented on heat stress, air pollution, mobility patterns and urban greening
| Short title or EU acronym | GENeCITY |
|---|---|
| Acronym | EUAR253 |
| Status | Active |
| Effective start/end date | 1/06/26 → 30/11/29 |
Keywords
- Urbanization and urban planning, cities
- Climate-neutral cities
- digital twins
- explainable and agentic AI
- participatory governance
- federated architecture
- urban planning
- citizen science
Flemish discipline codes in use since 2023
- Environmental and sustainable planning
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