(Swansea, UK – June 2025) Researchers from the London Digital Twin Research Centre recently participated in the DTNet+ Conference hosted by Swansea University, held on 16-17 June 2025. This event brought together academic, clinical, and industrial leaders to co-develop a national roadmap for digital twin research and applications.
The LDTRC team was represented by Dr. Annisa Ristya Rahmanti, a research fellow under the British Council ISPF Research Collaborations Programme, alongside visiting British Council ISPF early career researchers from Taiwan, Ms. Sophie Chien and Dr. Guan-Lin Liu. Their attendance highlighted the Centre’s expanding global partnerships and commitment to exploring interdisciplinary digital twin innovation in healthcare and cultural heritage.
The two-day conference focused on deepening collaboration across DTNet+’s special interest groups (SIGs), including:
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- Uncertainty and Trust (Chriss Burr)
- Scaling of Digital Twins (Jonathan Eyre)
- Design & Implementation of Digital Twins (John Oyekan)
- Societal Impacts (Jennifer Schooling)
- Health (Dewar Finlay)
- Languages, Logic & Ontologies for Digital Twins design, interoperability and analysis (LLODIA) (Steffen Zschaler)
- Human Interaction and Representation (Saeema Ahmed-Kristensen)
- Resilience and Security (Andrew Peck)
Day 1 featured keynotes on the SAIL Databank, a comprehensive health and social data infrastructure in the UK, and on the ongoing development of ISO standards for digital twin systems. Participants worked to align SIG priorities with national strategic objectives and discussed the upcoming transition of DTNet+ leadership from The Alan Turing Institute to the University of Sheffield. It was also announced that the next call for pilot projects will be deferred to 2026 to allow for further consolidation and reflection on current initiatives.
Day 2 shifted the spotlight to interdisciplinary journeys in digital twin research, with presentations from early career researchers (ECRs) showcasing diverse applications from real-time uncertainty quantification in emergency medical services (Scottish Ambulance Service), to fetal congenital heart disease modelling, defect detection in manufacturing, and beyond.
Dr. Rahmanti was selected to present a poster highlighting her work on AI-enabled digital twin models for stroke care in Indonesia, as part of the Digital Twin Stroke Care Network. The LDTRC delegation focused its engagement primarily within the Health and Design & Implementation SIGs. The conference also provided a platform for ECRs to share their perspectives through a dedicated feedback survey and to build new collaborative connections across SIG themes. The LDTRC team looks forward to contributing to future DTNet+ initiatives, including co-designing digital twin use cases and pilot proposals addressing critical needs in health systems and humanitarian response.