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Opportunities from the Integration of Simulation Science and Data Science

by Committee on Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science in 2017-2020 , Computer Science and Telecommunications Board , Division on Engineering and Physical Sciences , National Academies of Sciences, Engineering, and Medicine

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Convergence has been a key topic of discussion about the future of cyberinfrastructure for science and engineering research. Convergence refers both to the combined use of simulation and data-centric techniques in science and engineering research and the possibilities for a single type of cyberinfrastructure to support both techniques. The National Academies of Science, Engineering, and Medicine convened a Workshop on Converging Simulation and Data-Driven Science on May 10, 2018, in Washington, D.C. The workshop featured speakers from universities, national laboratories, technology companies, and federal agencies who addressed the potential benefits and limitations of convergence as they relate to scientific needs, technological capabilities, funding structures, and system design requirements. This publication summarizes the presentations and discussions from the workshop.

Genre: Computers / Information Technology (fancy, right?)

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