Community building provides the scaffolding for sharing and developing best practice for reproducible, ethical, collaborative and impactful data science for digital twins. It also provides a mechanism for community directed growth and community-level open project design, project delivery and contributions.
The TRIC-DT Hub community management strategy is based on best practice for communication and collaboration published in The Turing Way
For further community information see Tools Practices and Systems - Research Community Management Team
TRIC-DT Seminar Series
Summary of "Crafting Digital Twins: Knowledge Graphs" Seminar, 27th March 2024
The "Crafting Digital Twins: Knowledge Graphs" seminar at The Alan Turing Institute was a great success, drawing 23 people in-person and 16 people online. The workshop attracted participants primarily from engineering and data/computational sciences, with a notable focus on the intersection of AI and digital twins.
Among the audience were researchers and engineers, comprising both early-career and senior representatives, alongside non-academic participants from governmental departments and commercial entities specializing in digital twin technologies. The interdisciplinary nature of the event was evident, as attendees came from diverse fields such as infrastructure, cardiovascular models and weather and climate.
The event's focus on interdisciplinary collaboration was evident throughout, with experts from various fields coming together to discuss the theoretical and applied methods to Digital Twin technology. This approach fostered a rich exchange of ideas, promoting a deeper understanding of how different disciplines can contribute to the advancement of Digital Twins.
Following the initial presentations from Cambridge Computational Modelling Group from Jethro Akroyd and Jiaru Bai and from Turing researchers Xiaoxue Shen and Ziad Ghauch, the event transitioned into in-depth discussions centred on specific TRIC-DT projects. This format was particularly valuable for exploring how knowledge graphs can be adopted in practice and their value proposition for research and business teams on the example of the BAS research infrastructure for polar exploration. A significant theme of the event was the emphasis on knowledge sharing and the cultivation of a unified vocabulary. By creating a space where methodologies could be shared across the themes of natural environment, health, and infrastructure, the event succeeded in finding common ground and identifying new synergies among participants.
The "Crafting Digital Twins: Knowledge Graphs" event successfully provided valuable insights into the world of Digital Twins and laid a strong foundation for future collaboration and innovative solutions to shared challenges.
If you are a Turing researcher or already a collaborator with Turing and want to find out more or get involved in our seminar series, please follow this link.