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Math, Chemistry, and Physics
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Consensus Study Report
Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop (2022)
National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Policy and Global Affairs; Board on Research Data and Information; Board on Mathematical Sciences and Analytics; Committee on Applied and Theoretical Statistics; Computer Science and Telecommunications Board; Committee on Realizing Opportunities for Advanced and Automated Workflows in Scientific Research
Computers and Information Technology | Math, Chemistry, and Physics | Policy for Science and Technology
Consensus Study Report
Foundational Research Gaps and Future Directions for Digital Twins (2024)
National Academy of Engineering; National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Division on Earth and Life Studies; Board on Mathematical Sciences and Analytics; Committee on Applied and Theoretical Statistics; Computer Science and Telecommunications Board; Board on Life Sciences; Board on Atmospheric Sciences and Climate; Committee on Foundational Research Gaps and Future Directions for Digital Twins
Computers and Information Technology | Math, Chemistry, and Physics
Consensus Study Report
Prudent Practices in the Laboratory: Handling and Management of Chemical Hazards, Updated Version (2011)
National Research Council; Division on Earth and Life Studies; Board on Chemical Sciences and Technology; Committee on Prudent Practices in the Laboratory: An Update
Conflict and Security Issues | Environment and Environmental Studies | Math, Chemistry, and Physics
Consensus Study Report
Envisioning the Data Science Discipline: The Undergraduate Perspective: Interim Report (2018)
National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Division of Behavioral and Social Sciences and Education; Computer Science and Telecommunications Board; Board on Mathematical Sciences and Analytics; Committee on Applied and Theoretical Statistics; Board on Science Education; Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective
Computers and Information Technology | Education | Math, Chemistry, and Physics | Surveys and Statistics