7 Jul
2022
7 Jul
'22
4:42 p.m.
This month, in the CAUSE (Consortium for the Advancement of Undergraduate Statistics
Education) / JSDSE (Journal of Statistics and Data Science Education) webinar series, we
highlight the research article, Integrating Data Science Ethics Into an Undergraduate
Major. In the webinar, the presenters will present a programmatic approach to
incorporating ethics into an undergraduate major in statistical and data sciences. They
will discuss departmental-level initiatives designed to meet the National Academy of
Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as
their majors progress from the introductory courses to the senior capstone course, as well
as from side-to-side through co-curricular programming. They will also provide six
examples of data science ethics modules used in five different courses at their liberal
arts college, each focusing on a different ethical consideration. The modules are designed
to be portable such that they can be flexibly incorporated into existing courses at
different levels of instruction with minimal disruption to syllabi. The presenters will
connect their efforts to a growing body of literature on the teaching of data science
ethics, present assessments of their effectiveness, and conclude with next steps and final
thoughts.
Article: https://www.tandfonline.com/doi/full/10.1080/26939169.2022.2038041
Presented By: Benjamin S. Baumer (Smith College) and Katherine M. Kinnaird (Smith
College)
Benjamin S. Baumer<https://beanumber.github.io/www/> is an associate
professor<https://www.smith.edu/academics/faculty/ben-baumer> in the Statistical
& Data Sciences<https://www.smith.edu/academics/statistics> program at Smith
College. Ben is a co-author of The Sabermetric
Revolution<https://www.pennpress.org/>g/>, Modern Data Science with
R<http://mdsr-book.github.io/index.html>, and the second edition of Analyzing
Baseball Data with
R<https://www.routledge.com/Analyzing-Baseball-Data-with-R-Second-Editio…15>.
Ben has received the Waller Education
Award<https://www.amstat.org/your-career/awards/waller-awards> from the ASA Section
on Statistics and Data Science Education, the Significant Contributor
Award<https://community.amstat.org/sis/aboutus/honorees> from the ASA Section on
Statistics in Sports, and the Contemporary Baseball Analysis
Award<http://sabr.org/latest/baumer-brudnicki-mcmurray-win-2016-sabr-ana…
from the Society for American Baseball Research. His research interests include sports
analytics, data science, statistics and data science education, statistical computing, and
network science.
Katherine M. Kinnaird is the Clare Boothe Luce Assistant Professor of Computer Science and
Statistical & Data Sciences at Smith College. She is a computational researcher
working at the intersection of machine learning, mathematics and cultural analytics.
Kinnaird has been involved with the Workshop for Women in Machine Learning (WIML), the
American Mathematical Society's Committee on Education, and the Women in Music
Information Retrieval (WiMIR) Workshop.
The webinar will take place on July 19th, from 1:30-2:00 pm EDT. Please note the earlier
time .
Registration is required but is free:
https://www.causeweb.org/cause/webinar/jsdse/2022-07
We hope that you can join us for an informative discussion.
Sincerely,
Leigh Johnson (Capital University)
Moderator, CAUSE/JSDSE Webinar Series