Explorer: Scoring Mechanism

Privacy friends, researchers, and anyone keen to perspect. We need your help.

Our current scoring mechanism fails where it should shine.

If a project such as Facebook would fill in all its data, compared to a project such as Monero, they would both gain the same rating.

We invite you and your peers to help us research and redesign an open-source scoring mechanism that neutrally rates a project based on its privacy foundations.

Internally, I’ve collected feedback to gain a perspective on what the scoring model should or could achieve:

  • Open-Source (non-blackbox)
  • Tool for anyone (esp. non-technical) to qualify a project’s privacy
  • Verified and utilisable by 3rd parties
  • Adjusted towards specific projects, communities, or tools (events, layer 1s, tooling, …)
  • Scales with minimal manual data collection

For this to work, we have quite a few challenges:

  • Ethical data collection
  • Different projects = different benchmarks
  • Project data completeness
  • Weighting of various parameters

Looking outside of the scoring-specific challenges, we should stay aware of the risks of applying our own biases in an automated system. We aim to create a neutral, reusable, privacy scoring system. To avoid our internal bias, your perspective and criticism are incredibly valuable.

Recommend to add here all historical scoring links from the historical hackathon project development in 2022 to Scoring model for privacy docs