RegenLearnings.xyz
RegenLearnings is a group for people who want to learn in public, share ideas, and apply research related to public goods funding. Our interests and experience lie in a priori theory, analysis of empirical data, and program design. We believe it is at the intersection of these things that the magic happens 🪄
Getting Started
- Read the intro blog post: https://gov.gitcoin.co/t/regenlearnings-xyz-research-group/17361 (opens in a new tab)
- Join the telegram: https://t.me/+QE6Pm1DtfktkYjYx (opens in a new tab)
- Sign up for the next community call: https://lu.ma/regenlearnings (opens in a new tab)
Process
- Keep it simple.
- Best practice: Publish a blog post when you have something worthwhile to share. This group can help you prioritize, shape ideas + review drafts to get there.
- We coordinate asyncronously in telegram.
- There will be a monthly call to pitch ideas.
- If you and your collaborators need more coordination, you can coordinate that!
Things We're Doing
- Sharing our Learnings
- Hosting Monthly Calls
- Building a Regen Data Bootcamp.
WIP Backlog
(this list curated by Carl/Kevin, but more emergent backlog will be forthcoming)
- Further delving into these (opens in a new tab)
- There are at least four components to designing a voting strategy:
- Impact Vector: Identifying the type of impact you want to amplify over time.
- Distribution Curve: Determining how flat or skewed the eventual distribution of tokens to projects should be.
- Eligibility Criteria: Establishing parameters to determine which projects qualify.
- Award Function: Creating a formula or rubric to equate impact with profit.
- There are at least four components to designing a voting strategy:
- Impact Attestations
- Data Analysis on Impact Attestations
- Long tail Impact Attestestations
- How can A web of trust be built around impact attestations?
- Getting degens to the regen party.
- How could we get degens to emergently contribute to regen things?
- Perhaps we could invite them to speculate on RPGF?
- Novel directions in the shape rotators guide to funding what matters (opens in a new tab).
- Simulation Models you can tune + run out of the box.
- Building things on top of well curated data models like regendata.xyz (opens in a new tab), Gitcoin-Grants-Data-Portal (opens in a new tab) or OSObserver.
- Using Data Visualization and taking a page from the #dataisbeautiful playbook (opens in a new tab) to create new ways of exploring and surfacing insights from impact data
Meta stuff (not object level, but about regenlearnings.xyz itself)
- Making all of the learnings indexed and queryable via an LLM.
- how does a new researcher "sync to HEAD" of all of the latest context for important subject matter (OP RPGF program design, gitcoin grants program design, data supporting each)
- how do we want to maintain this resource?