Foundational Research Gaps and Future Directions for Digital Twins (2024) / Chapter Skim
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1 Introduction
1 Introduction
Pages 17-20
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From page 17... ...
A digital twin can be a critical tool for decision-making that uses a synergistic combination of models and data. The bidirectional interplay between models and data endows the digital twin with a dynamic nature that goes beyond what has been traditionally possible with modeling and simulation, creating a virtual representation that evolves with the system over time.
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From page 18... ...
Other technological complexities pose challenges as well, such as network connectivity and edge computing capabilities, data integration issues and the lack of standardized frameworks or data structures, and interoperability among various systems. Additional challenges include organizational aspects, including workforce readiness, cultural shifts, and change management required to facilitate the successful adoption and integration of digital twins.
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From page 19... ...
The National Academies appointed a committee of 16 members with expertise in mathematics, statistics, computer science, computational science, data science, uncertainty quantification, biomedicine, computational biology, other life sciences, engineering, atmospheric science and climate, privacy and ethics, industry, urban planning/smart cities, and defense. Committee biographies are provided in Appendix F
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From page 20... ...
Washington, DC: The National Academies Press. NASEM.
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