The goal is to explore and define the design principles of a Digital Twin City (Smart City Digital Twin) such as data models, use cases, solutions for integrating heterogeneous data, and to simulate their operation using raw data obtained from selected, rapidly urbanizing market areas.

The project seeks to understand the digital twin platform of a smart city, which effectively supports various heterogeneous data sets, methods, and use cases for different stakeholders in different markets. It investigates methods for efficient data management and integration of the digital twin platform, as well as the opportunities that artificial intelligence brings to the platform. Finally, the functionality of the concept's architecture, data models, data transfer, and artificial intelligence is simulated/validated with test data collected from different markets.

The project has received support from Business Finland from the 'Low-Carbon Built Environment' program,
which is funded by the EU's one-off recovery instrument.