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 paradigm characterized by the imperative to make everything worldly “count,” datafying and modeling it within digital environments in real time for future predictions. Digital twins are thus performative agents in a network of feedback loops between humans, machines, environments, and algorithms. This article concludes with an overview of the special issue, placing digital twins in the phenomenological context of media that are seamlessly and simultaneously logistical, spatial, and transformative.
Borbach et al. (Fri,) studied this question.