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

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
Short title or EU acronymGENeCITY
AcronymEUAR253
StatusActive
Effective start/end date1/06/2630/11/29

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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