Caldarelli et al. (2023) published this month in Nature Computational Science: “The role of complexity for digital twins of cities”. They argue that complexity science has the potential to integrate and support digital twins of cities. The huge amount of data produced by digital twins requires a theoretical and methodological background that can cope with the multiple and simultaneous interactions that occur in cities.
According to the authors, complexity could address these issues by combining data-based and hypothesis-based approaches. They also argue that twin cities need to face ethical norms and quality standards, for which “the concept of a digital twin needs to be extended to the social and environmental domain in a value-sensitive way, respecting privacy and human rights”.
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