In various fields of science and engineering, growing enthusiasm exists for the potential of digital twins to revolutionize scientific research and industrial processes. A digital twin combines computational models with a physical counterpart to form a system that continuously updates through two-way data flows as conditions change. Digital twins possess the potential to go beyond traditional simulation and modeling, empowering predictions of future weather and climate conditions over long periods, and safer and more efficient engineering processes. However, stakeholders must address critical challenges to unlock the full benefit of digital twins.

Accordingly, the National Academies hosts a webinar on Friday, December 15, 2023, to delve into a new report on the fundamental research and resources necessary to advance digital twin technologies. Further, the new report highlights crucial areas for future research and presents an interdisciplinary research agenda, with recommendations on how federal agencies and researchers from different fields can effectively collaborate. During the webinar, committee members discuss the report’s key findings and relevant recommendations.

About The National Academies of Sciences, Engineering, and Medicine: The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our work helps shape sound policies, inform public opinion, and advance the pursuit of science, engineering, and medicine.


© 2023 National Academy of Sciences. All rights reserved.

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ClimaTwin® is a leading climate risk intelligence solution for infrastructure assets and the built environment.

We empower infrastructure stakeholders to mitigate climate risks and assess adaptation actions across the total asset lifecycle. By connecting complex climate models and infrastructure digital twins, our solution enables owner-operators, investors, governments, engineers, and other decision-makers to aggregate, visualize, and analyze disparate datasets, revealing site-specific insights at a hyper-local scale. Benefits include 5-10x near-term returns and lifetime cost-avoidance by mitigating risks to systems, services, and societies.

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