Inter-disciplinary research network DTNet+ is a UKRI funded, UK-wide inter-disciplinary research network designed to facilitate research advancements that will contribute to the next generation of intelligent, resilient, and trusted digital twins.

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Our aim:

Our Aim is to establish a digital twin Network+ by bringing together an inclusive, diverse & multi-disciplinary UK-wide membership, with research interests in digital twins, that will transform the UK’s national capability in digital twinning. 

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The objectives of the network are to:

1. Facilitate knowledge exchange and stimulate new cross-disciplinary collaborations & innovations for digital twins.

2. Accelerate the development of underpinning academic research that is needed to develop robust, resilient and trusted DTs that can operate at speed and scale.

3. Articulate the challenges & help set the UK digital twin agenda via thought leadership activities.

4. Facilitate explorative (pilot) cross-disciplinary research projects & feasibility studies that stimulate further funding applications and opportunities relating to digital twins.

5. Support outreach, skills development & sustainability for digital twin technology.

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Our special interest areas:

1. Uncertainty & trust led by Chris Dent (Edinburgh University).

2. Scaling of digital twins led by Jonathan Eyre (AMRC- University of Sheffield).

3. Design & implementation of digital twins led by Yacine Rezgui (Cardiff University) and John Oyekan (York University).

4. Societal impacts led by Jennifer Schooling (Anglia Ruskin University), Paul Cureton (Lancaster University), Negar Ahmadpoor (Anglia Ruskin University), and Chris Burr (The Alan Turing Institute).

5. Health led by Naeem Soomro (Anglia Rusking University) and Dewar Finlay (Ulster University).

6. Languages, logic & ontologies for digital twin design, interoperability and analysis (LLODIA) led by Chris Baker (Rothamsted University), Magda Zajackowska (Loughborough University) and Steffen Zschaler (Kings College London).

7. Human interaction and representation led by Saeema Ahmed-Kristensen (Exeter University) and Sai Gu (Warwick University).

8. Resilience & security led Tim Watson (The Alan Turing Institute) and Andrew Peck (Loughborough University)

 

 

Inter disciplinary research network

DTNet+ is a UKRI funded, UK-wide inter-disciplinary research network designed to facilitate research advancements that will contribute to the next generation of intelligent, resilient, and trusted digital twins.

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