Digital twins are characterized as NextGen smart cities, part of cyber-manufacturing processes and as industry 4.0 systems. They are digital replicas of ‘real’ world physical assets, with real-time information interchanges via sensors between digital replicas and their material assets. They can be immersive 3D environments of cities rendered in game engines and engaged with via VR headsets. Uncritical, enthusiastic and technologically solutionist rationales are generally offered for their creation in IT, engineering and vendor literature. Digital twins are often touted as a system to predict, preempt, prevent and plan for the impact of climate change and for emergency preparedness scenario planning. This paper discusses preliminary observations from a transdisciplinary archival and AI research project of an urban digital twin in the architecture, engineering, construction and owner operated (AECOO) sector, theoretically framed by critical data studies, archival digital diplomatics, digital records forensics and social and technological assemblage theory. A hybrid methodological approach combines a technological walkthrough with twin developers mapping data flows and technological processes, guided by a semi-structured interview instrument to identify what constitutes a record of automated and AI/ML actions that affect social and material outcomes. Preliminary observations identified a complex set of technopolitics, myriad procurement and contractual arrangements where data and technology ownership remains with vendors. It has become clear that digital twins are very messy and poorly governed infrastructures of infrastructure, which are mostly proprietary, lack interoperability and standards. The aim is to understand urban digital twins so that they may be governed in the public interest.
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