Roundtable on Data Science Postsecondary Education: Meeting #6
Event Information
Description
Meeting Topic: Improving Reproducibility by Teaching Data Science as a Scientific Process
The National Academies of Sciences, Engineering, and Medicine invite you to attend the sixth meeting and webcast of the Roundtable on Data Science Postsecondary Education on March 23, 2018. This meeting will bring together experts from academia, industry, and government to discuss Improving Reproducibility by Teaching Data Science as a Scientific Process. For more information, visit the event website.
For this event, you have the option to register as an in-person participant or as a webcast participant. Please select the appropriate ticket type so we can get a correct head count!
Webcast Participants: In case you cannot attend in person, we invite you to watch the live webcast. During the event, we encourage webcast participants to send questions for the speakers to Ben Wender at bwender@nas.edu, who will read them out if time permits. Please note that the afternoon breakout session will not be webcast - the webcast will only run from 9am-3pm.
Event website: http://sites.nationalacademies.org/DEPS/BMSA/DEPS_184420
Watch the webcast here: https://www.youtube.com/watch?v=7dzfeHEes5w
ABOUT THE ROUNDTABLE
This event is part of an ongoing series of roundtable meetings that take place approximately four times per year. It 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. Learn more about the roundtable and watch videos of past meetings on the roundtable website.
Organizer NASEM Math and Statistics
Organizer of Roundtable on Data Science Postsecondary Education: Meeting #6
The Board on Mathematical Sciences and Analytics (BMSA) of the National Academies of Sciences, Engineering, and Medicine leads activities in the mathematical sciences at the National Academies in topic areas including from applied mathematics, scientific computing, and risk analysis.
The Committee on Applied and Theoretical Statistics (CATS) of the National Academies of Sciences, Engineering, and medicine organizes studies and events focusing on the statistical sciences, big data and data science, statistical education, the use of statistics, and issues affecting the field. CATS occupies a pivotal position in the statistical community, providing expertise in methodology and policy formation.
