Week 7 - Data science ethics
Misrepresentation of findings, data privacy, and algorithmic bias 👩💻
- Watch the videos
- Complete the assignments
- Complete the readings
- (Optional) Submit your project re-proposal by 16:00 on Friday, 6 November
Some of the videos for this week are by “guest lecturers”, they’re labeled with a 🎤. The total length of the videos add up to more than the usual amount, so I recommend watching as much as of them as you’re interested – they cover highly important topics without being highly technical. You’re welcomed to skip the Q&A parts of these videos.
|Due this week|
|Lab 04||UoE Art Collection||Tue, 3 Nov, 16:00 UK|
|Feedback||Peer evaluation 02 (emailed via TEAMMATES)||Wed, 4 Nov, 16:00 UK|
|Project||Proposal, take 2 (Optional)||Fri, 6 Nov, 16:00 UK|
|OQ 06||Review||Sun, 8 Nov, 23:59 UK|
|Due next week|
|Lab 05||Conveying the right message through visualisation||Tue, 10 Nov, 16:00 UK|
|HW 03||Money in politics||Thur, 12 Nov, 16:00 UK|
|📖||MDSR: Chp 6 - Professional Ethics||Required|
|📄||Ethical challenges in online research: Public/private perceptions||Optional|
|🖋||Algorithmic Unfairness Without Any Bias Baked In||Optional|
This week we reviewed data science project workflows.
Interactive R tutorials
No new interactive R tutorials this week. If you haven’t completed last week’s, this is your chance to catch up!