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Roundtable on Data Science Postsecondary Education Meeting #1:

Foundations of Data Science and Needs of Diverse Communities

December 14, 2016

 


Keck Center, Room 208
500 5th St. NW
Washington, DC 20001
 

 

The National Academies of Sciences, Engineering, and Medicine held a one-day meeting and webcast on data science postsecondary education on December 14, 2016. This meeting brought together data scientists and educators to discuss how to define and strengthen existing data science programs and how to best engage and retain data science students.

This event is the first of an ongoing series of roundtable meetings that will take place approximately four times per year. This roundtable is organized by the Committee on Applied and Theoretical Statistics in conjunction with the Board on Mathematical Sciences and Their Applications, the Computer Science and Telecommunications Board, and the Board on Science Education.

 

Meeting #1 Highlights (6 Page Summary)

 

Roundtable Members

 

Meeting Agenda

10 a.m. Welcome and overview of meeting
Eric Kolaczyk, Boston University (participating remotely)
Video

 

Foundations of Data Science

 

10:15 a.m.  Statistics 
Jessica Utts, University of California, Irvine
Nick Horton, Amherst College
Presentation - Video

 

10:45 a.m. Computer Science
Charles Isbell, Georgia Institute of Technology
Presentation - Video - Video Q&A

 

11:15 a.m. Engineering
Al Hero, University of Michigan
Presentation - Video

 

11:45 a.m. Mathematics
Eric Kolaczyk, Boston University (participating remotely)
Raphy Coifman, Yale University (in absentia)
Presentation - Video 

 

12:15 p.m. Working lunch

 

12:45 p.m. Roundtable discussion on foundations of data science
Video

 

1:30 p.m. Break

 

Needs of Data Science Communities

1:45 p.m. Biomedical
Michelle Dunn, National Institutes of Health
Presentation - Video - Video Q&A

 

2:15 p.m. Industry
Nina Mishra, Amazon
Video - Video Q&A

 

2:45 p.m. Government
John Abowd, U.S. Census Bureau
Presentation - Video - Video Q&A

 

3:15 p.m. Roundtable discussion on needs of data science communities
Video

 

4 p.m. Opportunity for public comment

 

4:15 p.m. Discussion of 2017 meeting topics
Video

 

5 p.m. Adjourn Meeting

 

Event Videos


Video Playlist

 

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