TWINVERSE: The Federated Universe of AI-Enhanced Digital Twins to Achieve Climate Neutrality of Urban Environments

White Research is proud to announce its participation in TWINVERSE, a transformative project under the Horizon Europe research framework, officially launched in May 2026.

TWINVERSE is an ambitious initiative that aims to design, implement, and operationalise a federated ecosystem of interoperable, AI-enhanced Digital Twins accelerating the transition towards climate-neutral, resilient, and inclusive urban futures. The Twinverse ecosystem will be demonstrated and validated across five pilot cities, Cork, Kalamata, Milan, Vitoria-Gasteiz, and Lappeenranta.

Objectives and Vision:

By integrating artificial intelligence, high-resolution data, and digital twin technologies within a federated framework, TWINVERSE seeks to establish a scalable and replicable model for smart urban governance across Europe.

What Sets TWINVERSE Apart:

The project’s added value lies in its ability to integrate heterogeneous urban data, advanced artificial intelligence, and Digital Twin technologies within a common interoperable framework, enabling cities to move beyond isolated pilot solutions towards scalable and transferable approaches for urban governance. By fostering cross-city collaboration and knowledge exchange, Twinverse allows cities to learn from each other’s experiences while adapting solutions to their local contexts.

How It Will Do It:

TWINVERSE employs a multi-faceted approach that includes:

• Developing advanced tools to establish a federated ecosystem of interoperable, AI-enhanced Digital Twins capable of cross-sectoral urban simulation.
• Co-creating and testing AI-powered services across core urban domains tailored to specific local contexts across 5 European Mission Cities acting as living labs.
• Engaging communities, stakeholders, and policymakers through interactive visualisation interfaces and participatory co-design workshops to ensure data-informed decision-making and direct updates to local climate strategies.
• Sharing knowledge and fostering synergies by contributing open-source assets to the EU Local Digital Twin Toolbox marketplace, delivering structured capacity-building materials (like MOOCs), and collaborating with other EU-funded mission initiatives to maximise long-term scalability and replication.

White Research’s Role in TWINVERSE:

White Research leads the demanding collection and harmonisation of socio-demographic, economic, and cultural data across all five pilot cities. As a cross-cutting partner, it plays a horizontal role, providing support to all pilot cities throughout the project lifecycle. To this end, WR will leverage publicly available data sources at both the European and local levels to generate high-resolution datasets, while contributing to the collection of private datasets from the pilot cities. Also, for the purposes of the project, WR will apply advanced data integration and analytical techniques to enhance the spatial and thematic completeness of the collected data. Moving to the second stage, WR will support the integration of these datasets into the Digital Twin Models through a Python-based data pipeline architecture. By delivering comprehensive, high-quality datasets that can serve as potential outcome and explanatory variables, WR will contribute to improving the accuracy, robustness, and predictive capabilities of the Digital Twin models across all pilot cities.