Dashboard

Public aggregate insights dashboard for Make AI Visible.

This repository owns the public-facing view of privacy-protected research findings. The MVP should make patterns visible without exposing individual contributors, conversations, schools, locations, or rare cohorts.

MVP Scope

• Display aggregate counts and behavioral score distributions.
• Support cohort-level filters only when privacy thresholds are satisfied.
• Apply suppression and differential privacy noise before publication.
• Show methodology notes and data freshness metadata.
• Avoid individual-level records, quotes, or small-cell drilldowns.

Privacy Boundary

The dashboard must only consume aggregate, publication-approved data. No raw conversations, anonymized full transcripts, or reviewer-only records should be shipped to the client.

Suggested Stack

• React or Next.js with TypeScript.
• Static aggregate JSON or a read-only API.
• Charting library with accessible labels.
• Automated checks for minimum cohort sizes.

First Milestone

Build a static dashboard using synthetic aggregate data, including suppression rules for cohorts below the publication threshold.

Current Prototype

This repo includes a static synthetic aggregate dashboard:

python3 -m http.server 8000

Then open http://127.0.0.1:8000.

The dashboard reads data/synthetic_aggregate.json, displays aggregate dimension counts, and suppresses cohorts below min_public_cohort. It must not ship raw conversations, quotes, individual records, schools, locations, or reviewer-only data.

Developer Notes

• src/README.md explains the dashboard rendering code.
• data/README.md explains the synthetic aggregate data.
• scripts/README.md explains the static validation check.