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1 - 4 of 4 resultsSearch results for "lake okeechobee"
Proceedings
The Mathematical Sciences' Role in Homeland Security: Proceedings of a Workshop (2004)
National Research Council; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications
Computers and Information Technology | Math, Chemistry, and Physics | Surveys and Statistics
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
Proceedings
Opportunities and Challenges for Digital Twins in Atmospheric and Climate Sciences: Proceedings of a Workshop—in Brief (2023)
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; Computer Science and Telecommunications Board; Board on Atmospheric Sciences and Climate; Board on Life Sciences; Linda Casola, Rapporteur
Computers and Information Technology | Earth Sciences | Engineering and Technology | Math, Chemistry, and Physics
Consensus Study Report
Data Science for Undergraduates: Opportunities and Options (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