Overview
What this challenge is about.
Audit Recommender Filter Bubbles for a Civic Forum. Advanced challenge in research. Conducting rigorous research on real questions, earn a blockchain-verifie...
The Brief
What you'll do, and what you'll demonstrate.
Quantify recommender-driven viewpoint narrowing on a civic platform and recommend three product changes with expected impact.
This is not a research exercise. It is the work a researcher does to produce findings that withstand scrutiny. That distinction matters to every hiring manager who has seen candidates summarize papers and none who have produced original findings under expert review.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Design diversity metrics for recommender outputs
- Run a cohort-based exposure audit on impression logs
- Translate audit findings into concrete product-design changes
- Communicate audit results to non-technical board members
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Recommender Evaluation
Apply recommender evaluation to solve real industry problems and demonstrate production-level capability.
- Diversity Metrics
Apply diversity metrics to solve real industry problems and demonstrate production-level capability.
- Audit Methodology
Apply audit methodology to solve real industry problems and demonstrate production-level capability.
- Data Storytelling
Apply data storytelling to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Social Media Analytics
Apply social media analytics to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Safety Researcher
Designing and running a recommender-bias audit with a board-ready output is the entry point for AI safety researchers on trust-and-safety teams.
This challenge sharpens
- audit-methodology
- diversity-metrics
- recommender-evaluation
Data Scientist
Cohort-based exposure analysis with stakeholder storytelling is the data-scientist craft applied to a high-stakes policy question.
This challenge sharpens
- recommender-evaluation
- data-storytelling
- social-media-analytics
AI Product Manager
Turning audit findings into three product changes with expected impact is core AI PM work on consumer platforms under regulatory pressure.
This challenge sharpens
- recommender-evaluation
- diversity-metrics
- data-storytelling