At the NUS CDE, we develop methodologies to capture human-level, building-level, and urban-level data in real-time, build models that represent humans, systems, buildings, and cities, and establish data interoperability frameworks and methodologies to link the resulting data and models into a multi-scale digital twin.
The resulting digital twin is enriched with dynamic data interacting with urban climate, building-level human, and systems semantic models at scale.
In addition, we develop efficient data communication through edge computing at the data sources, novel human-building-city interfaces to communicate and capture human requirements, give prominence to crowdsourcing, and personal robotic systems to efficiently provide comfortable and healthy indoor and outdoor environments to individuals.
The new digital twin will contribute to develop a seamless system to support real-time modelling, monitoring, pre-emptive urban planning and design.
Unique and comprehensive spatial and temporal design tools will be developed with coordinated diverse multi-disciplinary expertise in areas including meteorology, climatology, urban ambient chemistry and urban planning.