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.
Table of Contents
|2 Presentation Summaries||3-17|
|3 Workshop Wrap-up Discussion||18-24|
|Appendix A Workshop Agenda and Participants List||25-27|
|Appendix B Steering Committee Biographies||28-31|
|Appendix C Speaker Biographies||32-36|
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