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Details of Grant 

EPSRC Reference: EP/Y016289/1
Title: Digital Twinning NetworkPlus: DTNet+
Principal Investigator: Wagg, Professor DJ
Other Investigators:
Finlay, Professor DD Schooling, Dr J Eyre, Mr J
Ahmed-Kristensen, Professor S
Researcher Co-Investigators:
Project Partners:
AddQual Anglian Water ANSYS (International)
Arup Group Ltd AstraZeneca Be-St
BMT Group Ltd (UK) BTL Group LTD Connected Places Catapult
COWI UK Limited DAFNI Data & Analytics Fac f Natl Infra Digital Catapult
Discovery Park Limited Dover Harbour Board (DHB) EDF
Environment Agency (Grouped) Ericsson Silicon Valley Fujitsu
GlaxoSmithKline plc (GSK) Hadean Supercomputing Ltd HCL Technologies Ltd
Health and Safety Executive Iknaia Limited Information Junction Ltd
Iotics (UK) Jacobs UK Limited KEEN AI Ltd
Laing O'Rourke Ltd MathWorks Medtronic
National Police Chief's Council Network Rail Newcastle Health Innovation Partners
Nissan Pinsent Masons LLP Port of Tyne
QinetiQ Scottish Research Partnership in Eng Sea and Land Project Engineering Limited
SRUC STFC The National Robotarium
UK Coll for Res in Infra & Cities UKCRIC UK Research Centre in NDE Viettel Group
Virtual Physiological Human Institute
Department: Research
Organisation: The Alan Turing Institute
Scheme: Standard Research - NR1
Starts: 01 August 2023 Ends: 31 July 2028 Value (£): 3,769,007
EPSRC Research Topic Classifications:
Artificial Intelligence Human-Computer Interactions
Modelling & simul. of IT sys. Networks & Distributed Systems
Urban & Land Management
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
06 Jun 2023 NetworkPlus for UK Digital Twins Expert Interview Panel Announced
10 May 2023 NetworkPlus for UK Digital Twins Expert Panel Announced
Summary on Grant Application Form
Digital twins are a fusion of digital technologies considered by many leading advocates to be revolutionary in nature. Digital twins offer exciting new possibilities across a wide range of sectors from health, environment, transport, manufacturing, defence, and infrastructure. By connecting the virtual and physical worlds (e.g. cyber-physcial), digital twins are able to better support decisions, extend operational lives, and introduce multiple other efficiencies and benefits. As a result, digital twins have been identified by government, professional bodies and industry, as a key technology to help address many of the societal challenges we face.

To date, digital twin (DT) innovation has been strongly driven by industry practitioners and commercial innovators. As would be expected with any early-adoption approach, projects have been bespoke & often isolated, and so there is a need for research to increase access, lower entry costs and develop interconnectivity. Furthermore, there are several major gaps in underpinning academic research relating to DT. The academic push has been significantly lagging behind the industry pull. As a result, there is an urgent need for a network that will fill gaps in the underpinning research for topics such as; uncertainty, interoperability, scaling, governance & societal effects.

In terms of existing networking activities, there are several industry-led user groups and domain-specific consortia. However, there has never been a dedicated academic-led DT network that brings together academic research teams across the entire remit of UKRI with user-led groups. DTNet+ will address this gap with a consortium which has both sufficient breadth and depth to deliver transformative change.

Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Further Information:  
Organisation Website: https://www.turing.ac.uk