Skip to content

BlockScience/conviction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

55 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This is a repository for Research on Conviction voting schemes.

What is Conviction Voting?

Conviction Voting is a novel decision making process used to estimate real-time collective preference in a distributed work proposal system. Voters continuously express their preference by staking tokens in support of proposals they would like to see approved, with the conviction (i.e. weight) of their vote growing over time. Collective conviction accumulates until it reaches an algorithmically set threshold based on the proportion of funds requested by a proposal. When conviction accumulates past the threshold, the proposal passes and funds are released so work may begin.

Conviction voting improves on traditional discrete voting processes by allowing participants to vote at any time, and eliminates the need for group consensus on every proposal.

Learn more

TL;DR Tweet Thread Conviction Voting: A Novel Continuous Decision Making Alternative to Governance Understanding Real-Time ‘Vote Streaming’: Announcing the Conviction Voting cadCAD Model Release

cadCAD Model Walk through About cadCAD Presentation by CV Developer Sem Brestels Academic Paper Social Sensor Fusion

About BlockScience

BlockScience® is a complex systems engineering, R&D, and analytics firm. Our goal is to combine academic-grade research with advanced mathematical and computational engineering to design safe and resilient socio-technical systems. We provide engineering, design, and analytics services to a wide range of clients, including for-profit, non-profit, academic, and government organizations, and contribute to open-source research and software development.

Follow & Subscribe

🐦Twitter | 📚 Medium | 👻Blog | 🎥 YouTube | 👥 Linkedin

Contact

The above model was designed to be configurable and customizable for multiple use cases. If you are interested in using the model, supporting further development or have any other questions, reach out to us at [email protected].


img

About

Repository for Research on Conviction voting schemes

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published