Privacy-by-Design Review for a Smart-City Data Platform
Overview
What this challenge is about.
Map the new module's end-to-end data flow (sensors -> ingestion -> analytics -> dashboards -> exports). Run a Privacy Impact Assessment against OECD privacy principles + per-tenant overlays (Singapore PDPA, Hong Kong PDPO, Australia Privacy Act, UAE PDPL). Identify the top 8 privacy risks (likely: CCTV face re-identification, location inference, sensor-data linkability, retention defaults). For each, propose an architectural control (k-anonymization at edge, differential-privacy noise on aggregates, scoped retention, role-based export gates). Stakeholder-test the proposed controls with each city's privacy officer. Deliver: 14-page PIA, control-architecture diagram, per-tenant overlay matrix, and a 4-page rollout memo.
The Brief
What you'll do, and what you'll demonstrate.
Run a privacy-by-design review that satisfies 4 tenant cities' privacy regimes before the new analytics module rolls out.
Earning criteria — what you'll demonstrate
- Apply OECD privacy principles + jurisdictional overlays to a real product
- Run a Privacy Impact Assessment with traceable data-flow mapping
- Design architectural privacy controls (minimization, pseudonymization, retention)
- Coordinate across multiple data-protection-authority overlays
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Product Manager
PMs on gov-tech / smart-cities products need this PIA fluency to ship features that survive cross-jurisdiction procurement reviews.
This challenge sharpens
- privacy-by-design
- privacy-regulation
- stakeholder-communication