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1 - 5 of 5 resultsSearch results for "learning processes"
Proceedings
Challenges in Machine Generation of Analytic Products from Multi-Source Data: Proceedings of a Workshop (2017)
National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Intelligence Community Studies Board; Linda Casola, Rapporteur
Math, Chemistry, and Physics | Surveys and Statistics
Consensus Study Report
Developing a 21st Century Global Library for Mathematics Research (2014)
National Research Council; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Planning a Global Library of the Mathematical Sciences
Math, Chemistry, and Physics | Surveys and Statistics
Proceedings
Preserving Strength While Meeting Challenges: Summary Report of a Workshop on Actions for the Mathematical Sciences (1997)
National Research Council; Division on Engineering and Physical Sciences; Board on Mathematical Sciences; Commission on Physical Sciences, Mathematics, and Applications
Education | Math, Chemistry, and Physics | Surveys and Statistics
Consensus Study Report
From Maps to Models: Augmenting the Nation's Geospatial Intelligence Capabilities (2016)
National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Division on Engineering and Physical Sciences; Board on Earth Sciences and Resources; Mapping Science Committee; Board on Atmospheric Sciences and Climate; Board on Mathematical Sciences and Their Applications; Committee on Models of the World for the National Geospatial-Intelligence Agency
Earth Sciences | Math, Chemistry, and Physics | Surveys and Statistics
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