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Pages 12-14

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From page 12...
... Digital twins require a foundational backbone that, in whole or in part, is reusable across multiple domains, supports multiple diverse activities, and serves the needs of multiple users. Digital twins must seamlessly operate in a heterogeneous and distributed infrastructure supporting a broad spectrum of operational environments, ranging from hand-held mobile devices accessing digital twins on-the-go to large-scale, centralized highperformance computing installations.
From page 13...
... For example, the Earth system science community is a leader in data assimilation; many fields of engineering are leaders in integrating VVUQ into simulation-based decision-making; and the medical community has a strong culture of prioritizing the role of a human decision-maker when advancing new technologies. Cross-domain interactions through the common lens of digital twins are opportunities to share, learn, and cross-fertilize.  Conclusion 7-2: As the foundations of digital twins are established, it is the ideal time to examine the architecture, interfaces, bidirectional workflows of the virtual twin with the physical counterpart, and community prac tices in order to make evolutionary advances that benefit all disciplinary communities.  Recommendation 5: Agencies should collaboratively and in a coordi nated fashion provide cross-disciplinary workshops and venues to foster identification of those aspects of digital twin research and development that would benefit from a common approach and which specific research
From page 14...
... • National Science Foundation -- Directorate for Technology, Innova tion and Partnerships programs.  There is a history of both sharing and coordination of models within the international climate research community as well as a consistent commitment to data exchange that is beneficial to digital twins. While other disciplines have open-source or shared models, few support the breadth in scale and the robust integration of uncertainty quantification that are found in Earth system models and workflows. A greater level of coordination among the multidisciplinary teams of other complex systems, such as biomedical systems, would benefit maturation and cultivate the adoption of digital twins.


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