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
|2 Meeting #1: The Foundations of Data Science from Statistics, Computer Science, Mathematics, and Engineering||8-16|
|3 Meeting #2: Examining the Intersection of Domain Expertise and Data Science||17-30|
|4 Meeting #3: Data Science Education in the Workplace||31-45|
|5 Meeting #4: Alternative Mechanisms for Data Science Education||46-61|
|6 Meeting #5: Integrating Ethical and Privacy Concerns into Data Science Education||62-77|
|7 Meeting #6: Improving Reproducibility by Teaching Data Science as a Scientific Process||78-93|
|8 Meeting #7: Programs and Approaches for Data Science Education at the Ph.D. Level||94-106|
|9 Meeting #8: Challenges and Opportunities to Better Engage Women and Minorities in Data Science Education||107-121|
|10 Meeting #9: Motivating Data Science Education Through Social Good||122-137|
|11 Meeting #10: Improving Coordination Between Academia and Industry||138-156|
|12 Meeting #11: Data Science Education at Two-Year Colleges||157-178|
|Appendix A: Biographical Sketches of Roundtable Members||183-200|
|Appendix B: Meeting Participants||201-208|
The National Academies Press and the Transportation Research Board have partnered with Copyright Clearance Center to offer a variety of options for reusing our content. You may request permission to:
For most Academic and Educational uses no royalties will be charged although you are required to obtain a license and comply with the license terms and conditions.
For information on how to request permission to translate our work and for any other rights related query please click here.
For questions about using the Copyright.com service, please contact:
Copyright Clearance Center
22 Rosewood Drive
Danvers, MA 01923
Tel (toll free): 855/239-3415 (select option 1)
Loading stats for Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights...