Towards ecosystems of connected digital twins to address global challenges | The Alan Turing Institute, May 18, 2023

ioi_ab's bookmarks 2023-05-19

Summary:

"A digital twin is a virtual representation of a physical entity. By bringing together data, modelling and simulation, digital twins enable insights about the performance of structures, products and processes. They are powerful tools for understanding and optimising complex systems that are already beginning to demonstrate their potential across multiple sectors, from engineering and manufacturing to health and the environment....Through digital twins, we can develop unprecedented capabilities for understanding, manipulating and managing complex systems. Within the EDT theme, we have found that for the full promise of the technology to be realised, we must consider the development and deployment of digital twins at the ecosystem-level. By connecting together digital twins within a virtual environment, we can enable sharing of information between ‘federated’ assets – assets under different jurisdictions and restrictions – unlocking more advanced insights and capabilities than are possible at the lower levels. Within an ecosystem, connected digital twins can also promote more varied applications, for example, by combining representations of, and insights from, both physical and social systems to support decision-making. There are, however, certain technical, social and institutional issues that need to be negotiated in developing ecosystems of digital twins. We therefore provide the following three recommendations in support of the progress which needs to be made: Elevate cross-disciplinary activities and spaces for digital twins. Invest in open infrastructure, with a focus on data and technical standards. Prioritise tools for building trust in and understanding of digital twins. By following these recommendations, with support from the right investments, we can build robust ecosystems of digital twins capable of helping us tackle some of the most important global challenges, from pandemics to adapting to climate change...."

Link:

https://www.turing.ac.uk/news/publications/towards-ecosystems-connected-digital-twins-address-global-challenges

From feeds:

[IOI] Open Infrastructure Tracking Project » ioi_ab's bookmarks

Tags:

adjacent tools artificial_intelligence

Date tagged:

05/19/2023, 12:41

Date published:

05/19/2023, 08:41