Week 7 - Data science ethics
Misrepresentation of findings, data privacy, and algorithmic bias 👩💻
Tasks
- Watch the videos
- Complete the assignments
- Complete the readings
- (Optional) Submit your project re-proposal by 16:00 on Friday, 6 November
Videos
You have two options for watching the course videos, on YouTube or on MediaHopper. You can also find a playlists for all course videos on YouTube here and on MediaHopper here.
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.
Assignments
Assignment |
Title |
Due |
|---|---|---|
| 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 |
Readings
| 📖 | MDSR: Chp 6 - Professional Ethics | Required |
| 📄 | Ethical challenges in online research: Public/private perceptions | Optional |
| 🖋 | Algorithmic Unfairness Without Any Bias Baked In | Optional |
Code-along
This week we reviewed data science project workflows.
| Recording |
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!
