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Roundtable on Data Science Postsecondary Education - A Compilation of Meeting Highlights (Paperback)
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Roundtable on Data Science Postsecondary Education - A Compilation of Meeting Highlights (Paperback)
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Established in December 2016, the National Academies of Sciences,
Engineering, and Medicine's Roundtable on Data Science
Postsecondary Education was charged with identifying the challenges
of and highlighting best practices in postsecondary data science
education. Convening quarterly for 3 years, representatives from
academia, industry, and government gathered with other experts from
across the nation to discuss various topics under this charge. The
meetings centered on four central themes: foundations of data
science; data science across the postsecondary curriculum; data
science across society; and ethics and data science. This
publication highlights the presentations and discussions of each
meeting. Table of Contents Front Matter 1 Introduction 2 Meeting
#1: The Foundations of Data Science from Statistics, Computer
Science, Mathematics, and Engineering 3 Meeting #2: Examining the
Intersection of Domain Expertise and Data Science 4 Meeting #3:
Data Science Education in the Workplace 5 Meeting #4: Alternative
Mechanisms for Data Science Education 6 Meeting #5: Integrating
Ethical and Privacy Concerns into Data Science Education 7 Meeting
#6: Improving Reproducibility by Teaching Data Science as a
Scientific Process 8 Meeting #7: Programs and Approaches for Data
Science Education at the Ph.D. Level 9 Meeting #8: Challenges and
Opportunities to Better Engage Women and Minorities in Data Science
Education 10 Meeting #9: Motivating Data Science Education Through
Social Good 11 Meeting #10: Improving Coordination Between Academia
and Industry 12 Meeting #11: Data Science Education at Two-Year
Colleges References Appendixes Appendix A: Biographical Sketches of
Roundtable Members Appendix B: Meeting Participants
General
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