This editorial investigates the epistemic and media-theoretical significance of digital twinning as a decision-making practice. Digital twins purport to calculate futures based on sensor data in conjunction with generative AI, cloud computing, and Internet-of-things architectures; they shape institutional decisions and are used to make such decisions accountable. To illustrate this, examples from the logistics, transportation, and military sectors are contrasted to earlier simulations and described as “phenomenotechniques.” We argue that digital twins are recent expressions of a technocratic
Research article
Making everything ac-count-able: The digital twinning paradigm
Abstract