Editing Human Centered Data Science (Fall 2019)/Schedule

From CommunityData

Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.

The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then save the changes below to finish undoing the edit.

Latest revision Your text
Line 311: Line 311:
;Homework assigned
;Homework assigned
* Reading and reflect: Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé, III, Miro Dudik, and Hanna Wallach. 2019. ''[https://arxiv.org/pdf/1812.05239.pdf Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?]''. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 600, 16 pages. DOI: https://doi.org/10.1145/3290605.3300830
* Reading and reflect: TBD (data science ethics survey paper)
* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A6:_Final project presentation|A6: Final project presentation]]
* A6: Final project presentation

Please note that all contributions to CommunityData are considered to be released under the Attribution-Share Alike 3.0 Unported (see CommunityData:Copyrights for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource. Do not submit copyrighted work without permission!

To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:

Cancel Editing help (opens in new window)