Through my Statistics and Philosophy coursework, I have seen diverse approaches to grappling with issues in Data Science Ethics. For my Summer Undergraduate Research Project (SURP) through Pomona College, I am exploring the pedagogies of existing Data Science Ethics courses. Exploring the pedagogies for Data Science Ethics is a fantastic way for me to understand the central concepts in the field and the current conversations in Data Science Ethics research. Additionally, it also gives insights into interesting pedagogical questions such as:
Who is teaching Data Science Ethics courses?
Which topics are most common within Data Science Ethics classes?
How do Data Science Ethics courses, which are inherently interdisciplinary, cater to students with different philosophical and technical backgrounds?
This website is a hub for my summer project on the teaching pedagogies of Data Science Ethics. By documenting my findings on this public website, I hope that others can also learn more about Data Science Ethics’ teaching pedagogies or, just generally, the nascent field of Data Science Ethics.
The table below details the syllabi that I consulted during this project. A majority of them are undergraduate courses and include a reading list. Feel free to visit Inside the Syllabi Notes for in-depth notes on each course’s learning goals and topics.