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Activity Number: 134 - Late-Breaking Session 2: Highlights from the National Academies of Sciences, Engineering, and Medicine’s Roundtable on Data Science Postsecondary Education Roundtable on Data Science Postsecondary Education
Type: Invited
Date/Time: Tuesday, August 4, 2020 : 10:00 AM to 11:50 AM
Sponsor: JSM Partner Societies
Abstract #314413
Title: Highlights from the National Academies of Sciences, Engineering, and Medicine’s Roundtable on Data Science Postsecondary Education
Author(s): Nicholas Horton* and Mark Krzysko* and Rachel Levy* and Kathy McKeown* and Nina Mishra*
Companies: Acquisition Data and Analytics, OUSD(A&S) Acquisition Enablers and Amazon and Amherst College and Columbia University and Mathematical Association of America
Keywords:
Abstract:

The (post-secondary) data science education round table (DSERT) was charged by the National Academies of Sciences, Engineering, and Medicine with highlighting the challenges in data science education and the emerging best practices for meeting those challenges. Convening quarterly between 2016 and late 2019, representatives from academia, government, and industry gathered with invited speakers from across the nation to discuss various topics under this charge. This forum was unique in providing an opportunity for representatives from different sectors to explore what academia can offer, how different disciplines can benefit and what industry and government need. The session will start with an executive summary of the discussions held under this round table, on topics that included foundations and domain areas, alternative mechanisms, ethics and privacy, reproducibility, diversity, academia-industry coordination, social good, and graduate program development. This will be followed by a period of open comments from individual panelists on these and related issues, and then open Q&A with the audience, particularly with an eye towards statistics in the broader data science education landscape.


Authors who are presenting talks have a * after their name.

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