On the scaling of digital twins by aggregation
We discuss the emerging technology of digital twins (DTs) and the expected demands as they scale to represent increasingly complex, interconnected systems. Several examples are presented to illustrate core use cases, highlighting a progression to represent both natural and engineered systems. The fo...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2025-01-01
|
| Series: | Data & Policy |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2632324924000865/type/journal_article |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832591616349569024 |
|---|---|
| author | Marcelo Pias Lawrence Bull Daniel S. Brennan Mark Girolami Jon Crowcroft |
| author_facet | Marcelo Pias Lawrence Bull Daniel S. Brennan Mark Girolami Jon Crowcroft |
| author_sort | Marcelo Pias |
| collection | DOAJ |
| description | We discuss the emerging technology of digital twins (DTs) and the expected demands as they scale to represent increasingly complex, interconnected systems. Several examples are presented to illustrate core use cases, highlighting a progression to represent both natural and engineered systems. The forthcoming challenges are discussed around a hierarchy of scales, which recognises systems of increasing aggregation. Broad implications are discussed, encompassing sensing, modelling, and deployment, alongside ethical and privacy concerns. Importantly, we endorse a modular and peer-to-peer view for aggregate (interconnected) DTs. This mindset emphasises that DT complexity emerges from the framework of connections (Wagg et al. [2024, The philosophical foundations of digital twinning, Preprint]) as well as the (interpretable) units that constitute the whole. |
| format | Article |
| id | doaj-art-347c27a298a84a8f9834161ee8b2f6e9 |
| institution | Kabale University |
| issn | 2632-3249 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Data & Policy |
| spelling | doaj-art-347c27a298a84a8f9834161ee8b2f6e92025-01-22T08:24:43ZengCambridge University PressData & Policy2632-32492025-01-01710.1017/dap.2024.86On the scaling of digital twins by aggregationMarcelo Pias0https://orcid.org/0000-0001-6728-2725Lawrence Bull1Daniel S. Brennan2Mark Girolami3Jon Crowcroft4https://orcid.org/0000-0002-7013-0121Federal University of Rio Grande (FURG), Rio Grande-RS, BrazilUniversity of Cambridge, Cambridge, UK The Alan Turing Institute, London, UKThe University of Sheffield, Sheffield, UKUniversity of Cambridge, Cambridge, UK The Alan Turing Institute, London, UKUniversity of Cambridge, Cambridge, UKWe discuss the emerging technology of digital twins (DTs) and the expected demands as they scale to represent increasingly complex, interconnected systems. Several examples are presented to illustrate core use cases, highlighting a progression to represent both natural and engineered systems. The forthcoming challenges are discussed around a hierarchy of scales, which recognises systems of increasing aggregation. Broad implications are discussed, encompassing sensing, modelling, and deployment, alongside ethical and privacy concerns. Importantly, we endorse a modular and peer-to-peer view for aggregate (interconnected) DTs. This mindset emphasises that DT complexity emerges from the framework of connections (Wagg et al. [2024, The philosophical foundations of digital twinning, Preprint]) as well as the (interpretable) units that constitute the whole.https://www.cambridge.org/core/product/identifier/S2632324924000865/type/journal_articleaggregationdata-centric AIdecentraliseddigital twinsfederationmodular representationpeer-to-peersystems thinking |
| spellingShingle | Marcelo Pias Lawrence Bull Daniel S. Brennan Mark Girolami Jon Crowcroft On the scaling of digital twins by aggregation Data & Policy aggregation data-centric AI decentralised digital twins federation modular representation peer-to-peer systems thinking |
| title | On the scaling of digital twins by aggregation |
| title_full | On the scaling of digital twins by aggregation |
| title_fullStr | On the scaling of digital twins by aggregation |
| title_full_unstemmed | On the scaling of digital twins by aggregation |
| title_short | On the scaling of digital twins by aggregation |
| title_sort | on the scaling of digital twins by aggregation |
| topic | aggregation data-centric AI decentralised digital twins federation modular representation peer-to-peer systems thinking |
| url | https://www.cambridge.org/core/product/identifier/S2632324924000865/type/journal_article |
| work_keys_str_mv | AT marcelopias onthescalingofdigitaltwinsbyaggregation AT lawrencebull onthescalingofdigitaltwinsbyaggregation AT danielsbrennan onthescalingofdigitaltwinsbyaggregation AT markgirolami onthescalingofdigitaltwinsbyaggregation AT joncrowcroft onthescalingofdigitaltwinsbyaggregation |