ethics curricula for data science

15 May 2019

Dear IG members,

at RDA 13 in Philadelphia, the keynote by Julia Stoyanovich[1][2] outlined
key challenges for data science practice, which she framed as "responsible
data science is our new frontier". One aspect highlighted in there was the
need for standards in teaching such responsible data science, for which she
gave her course[3] as an example.

Following the keynote, at the IG's meeting[4], we have discussed the
importance of ethics curricula for data science and agreed to create a task
force to bring expertise from our group together to come up with a reference
curriculum. It was suggested that this task force should focus its efforts
for the next few months on collecting information related to ethics training
in data-centric fields. On that basis, we would then synthesize and discuss
common elements as well as possible gaps, with the intended outcome being a
draft reference curriculum whose main components can be used across a broad
range of fields, with some room for adaptations to specific topics or
circumstances at hand.

To facilitate this process, we have set up a Google doc that is publicly
accessible, where you can sign up to indicate your interest to participate
in the Task Force, and where pointers to relevant resources can be collected
[5].

http://bit.ly/2vZZIQj

We will contact you again in the next few days about a first meeting of this
Task Force.

Oya and Daniel for the group

[1] Slides at

https://www.rd-alliance.org/sites/default/files/attachment/StoyanovichP1...
des.pdf

[2] video https://youtu.be/MbxYhz5aynk

[3]
https://dataresponsibly.github.io/courses/spring19/

[4]

https://rd-alliance.org/ig-ethics-data-science-and-analytics-rda-13th-pl...
y-meeting-0

[5]

https://docs.google.com/document/d/1xfLqo5YnzUODTy92S_WNXBZj-xjOXDdrGwKw...
bXw/edit