The sociotechnical digital twin: on the gap between social and technical feasibility

Barn, Balbir ORCID logoORCID: https://orcid.org/0000-0002-7251-5033 (2022) The sociotechnical digital twin: on the gap between social and technical feasibility. 2022 IEEE 24th Conference on Business Informatics (CBI). In: 2022 IEEE 24th Conference on Business Informatics (CBI), 15-17 June 2022, Amsterdam, Netherlands. e-ISBN 9781665460163. [Conference or Workshop Item]

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Abstract

The last five years has seen an exponential increase in interest around the notion of a digital twin. Multiple systematic reviews have established a base set of findings which are now broadly taken as assumptions in the field. The findings have outlined frameworks, integration patterns, distinctions between product and process oriented digital twins, simulation and the leveraging of artificial intelligence to support prediction and optimisation. As the use cases of digital twins have evolved from a predominance in manufacturing and into the sociotechnical domain to support the social world, a gap emerges between the social requirements and the technical machinery of digital twins. This gap is significant and worthy of exploration as it presents important challenges for digital twin research including use of sociotechnical design methods, problems arising from a so-called abstraction gap and various epistemological concerns. This paper proposes an analytical route to ameliorating the sociotechnical gap which is discussed within a future notion of an Environment Digital Twin.

Item Type: Conference or Workshop Item (Paper)
Sustainable Development Goals:
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 35360
Notes on copyright: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
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Depositing User: Balbir Barn
Date Deposited: 05 Jul 2022 14:23
Last Modified: 15 Jul 2022 08:49
URI: https://eprints.mdx.ac.uk/id/eprint/35360

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