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1 - 4 of 4 resultsSearch results for How People Learn Brain, Mind, Experience, and School Expanded Edition.
Proceedings
Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop (2022)
National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Division on Engineering and Physical Sciences; Board on Atmospheric Sciences and Climate; Board on Earth Sciences and Resources; Ocean Studies Board; Board on Mathematical Sciences and Analytics; Computer Science and Telecommunications Board; Rachel Silvern, Rapporteur
Computers and Information Technology | Earth Sciences
Consensus Study Report
Next Generation Earth Systems Science at the National Science Foundation (2022)
National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Division of Behavioral and Social Sciences and Education; Division on Engineering and Physical Sciences; Policy and Global Affairs; Committee on Advancing a Systems Approach to Studying the Earth: A Strategy for the National Science Foundation
Earth Sciences
Consensus Study Report
Fostering Responsible Computing Research: Foundations and Practices (2022)
National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Computer Science and Telecommunications Board; Committee on Responsible Computing Research: Ethics and Governance of Computing Research and Its Applications
Computers and Information Technology | Policy for Science and Technology
Consensus Study Report
Human-AI Teaming: State-of-the-Art and Research Needs (2022)
National Academies of Sciences, Engineering, and Medicine; Division of Behavioral and Social Sciences and Education; Board on Human-Systems Integration; Committee on Human-System Integration Research Topics for the 711th Human Performance Wing of the Air Force Research Laboratory
Behavioral and Social Sciences