The integration of digital twin technology into the design, construction, and management of urban environments and infrastructure is set to transform how we interact with and optimize these complex systems. Digital twins, functioning as dynamic, continuously updated digital replicas of physical assets, provide unparalleled opportunities to enhance operational efficiency, predictive maintenance, and data-driven decision-making. This minisymposium will delve into the latest advancements in digital twin technology as applied to cities and infrastructures, with a focus on the development, implementation, and practical applications of these virtual models.

Key discussions will center around the creation of accurate and robust virtual models using physics-based, data-driven, and hybrid approaches, as well as the challenges of continuously updating and recalibrating these models with real-time data. The symposium will also highlight the crucial role digital twins play in detecting anomalies in infrastructure operations, optimizing performance and sustainability in urban environments, and driving the ecological and energy transition.

The minisymposium will cover a range of application fields and methods, including but not limited to:
• Civil Engineering and Construction
• Smart Cities and Smart Buildings
• Transportation Networks and Mobility Analytics
• Road and Railway Infrastructures
• Water, Waste, and Energy Management
• Building Information Modeling (BIM) and Geographic Information Systems (GIS)
• IoT Sensors
• Machine Learning for Predictive Analytics and Data-Driven Optimization