As the term ‘digital twin’ spreads across science and technology, it risks losing scientific meaning. Such a twin should not denote just a digital replica, but a computational model that can be updated, tested against intervention and shown to fail.
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References
Wright, L. & Davidson, S. Adv. Model. Sim. Eng. Sci. 7, 13 (2020).
Waight, M. C. et al. Circulation 151, 521–533 (2025).
De Domenico, M. et al. npj Digit. Med. 8, 37 (2025).
Carrassi, A., Bocquet, M., Bertino, L. & Evensen, G. Wiley Interdisc. Rev. Clim. Change 9, e535 (2018).
Levins, R. Am. Sci. 54, 421–431 (1966).
Lucas, R. E. Jr Econometric policy evaluation: a critique. In Carnegie-Rochester Conference Series on Public Policy (...