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

Objective

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.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MISS-2025-04

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Coordinator

MAGGIOLI SPA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 341 009,38
Address
VIA DEL CARPINO 8
47822 SANTARCANGELO DI ROMAGNA
Italy

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Region
Nord-Est Emilia-Romagna Rimini
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (16)

Partners (9)

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