Integrating Data Science Ethics Into an Undergraduate Major


Tuesday, July 19th, 20221:30 pm – 2:00 pm ET

Presented by: Benjamin S. Baumer (Smith College); Katherine M. Kinnaird (Smith College)


Abstract

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

Slides

https://beanumber.github.io/talks/jsdse2022/data_ethics.html


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