TWINVERSE

Federated AI Digital Twins connecting EU cities to build antifragile, climate-neutral urban futures

TWINVERSE aims to design, implement and operationalise a federated ecosystem of interoperable, AI-enhanced Local Digital Twins to support European cities in their transition towards climate-neutral, resilient and inclusive urban futures. The project addresses key challenges faced by cities, including fragmented planning processes, siloed urban data, limited real-time decision-support capacity, and increasing exposure to climate and environmental risks such as heatwaves, air pollution, flooding and energy poverty. By combining real-time and static urban data with AI-based services, scenario analysis, impact simulation and participatory planning tools, TWINVERSE will help cities strengthen evidence-based decision-making, improve citizen engagement and support the implementation of Climate City Contracts, SECAPs and SUMPs. 

DReVen contributes environmental intelligence, forecasting and integration expertise to the project. Its role includes the development of AI-powered services for urban heat and air-quality risk assessment, supporting high-resolution weather and air-quality forecasting, Urban Heat Island detection and early-warning outputs. DReVen will design an integrated AI/ML-based system that builds on numerical weather prediction outputs, available air-quality modelling frameworks, pretrained AI models, regional datasets, real-time observations, historical datasets and automated data pipelines. DReVen will also support the Kalamata Local Digital Twin by contributing climate, air-quality and urban-risk information for resilience planning. In addition, DReVen leads the operational integration of Local Digital Twins and AI-powered services with the TWINVERSE Data Space, including integration testing, interoperability and compliance activities.