Table of Contents

👇🏽 What is this about?

The second half of the Rewards process begins after data has been exported from Praise and SourceCred.

In short, what need to happen is:

  1. Calculate token allocations
  2. Distribute token rewards
  3. Analyse the praise period data for insights, transparency, treaceability

https://images.zenhubusercontent.com/5fdba670baa205320c5a291e/7bc68fc4-6531-46b6-b8f8-633a46da37c8

The general idea is to manage this "second half" of the rewards system process all in one Jupyter notebook. That means:

  1. Bring the quantified praise data and SC data into the notebook as CSV
  2. Make manual adjustments with comments (there seems to be a plugin allowing editing of CSV data)
  3. Calculate the token rewards in a nice looking sheet with explanations, formulas and visualisations. This is where the TEC distribution algorithm lives.
  4. Additional analysis and statistics on separate sheet along with a short quantification text report by the Rewards Committee.

https://images.zenhubusercontent.com/5fdba670baa205320c5a291e/0e7b21b2-a8ec-40e4-9a31-07f6d64eb4bb

This whole package of notebook, data and edits would live on github and made accessible through https://mybinder.org or similar service.

And important: each new quantification period a copy of the notebook is made and put in a fresh folder on the repository, allowing you to move back in time and check on older quantifications.

✨ What does success look like?