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Roundtable on Data Science Postsecondary Education Meeting #7:

Programs and Approaches for Data Science Education at the PhD Level

June 13, 2018



National Academy of Sciences Building
Members Room
2101 Constitution Ave. NW
Washington DC, 20418

data-science-roundtable-banner

 

 

The National Academies of Sciences, Engineering, and Medicine will hold a one-day meeting and webcast on "Programs and Approaches for Data Science Education at the PhD Level" on June 13, 2018 in Washington DC. The meeting will bring together data scientists and educators in academia and industry to 1) learn about the content and organization of new and emerging data science PhD programs, and 2) discuss alternatives for structuring PhD programs including stand-alone PhDs, domain-based concentrations, and interdisciplinary IGERT programs.

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

 

Talk Videos 
 

Written Highlights

 

Programs and Approaches for Data Science Education at the Ph.D. Level
 

10 a.m.
Welcome and introduction
Eric Kolaczyk, Boston University
Kathy McKeown, Columbia University
 

10:10 a.m.
The Ph.D. Program in Data Science at NYU
Vasant Dhar, New York University

Video Presentation - Video Discussion

Presentation (PDF)


10:40 a.m.
Yale’s PhD Program in Data Science
Dan Spielman, Yale University
with comments from Jeff Brock, Brown/Yale
Video Presentation - Video Discussion 

Presentation (PDF)

 

11:10 a.m.
Introduction to Statistics and Data Science, at MIT
Devavrat Shah, Massachusetts Institute of Technology
Video Presentation - Video Discussion  

Presentation (PDF)
 

11:40 a.m.
Discussion


12:10 p.m.
Lunch


1:15 p.m.
Data Science at UC Davis
Duncan Temple Lang, UC Davis
(presenting remotely)
Video Presentation - Video Discussion

Presentation (PDF)


1:45 p.m.
Social Scientific Data Science: Building the Penn State Ph.D. in Social Data Analytics
Burt Monroe, Pennsylvania State University
Video Presentation - Video Discussion

Presentation (PDF)


2:15 p.m.
Data Science Specializations in Ph.D. Programs at UW
Magdalena Balizinska, University of Washington
Video Presentation - Video Discussion

Presentation


2:45 p.m.
Discussion
END WEBCAST
Video


3:10 p.m.
Begin breakout group discussions with lightning descriptions on Ph.D. program plans, barriers, or needs at your own institutions


4 p.m.
Report back from breakout groups and closing discussion


4:30 p.m.
Adjourn meeting