We are pushing the boundaries of decentralized governance by developing a novel protocol that empowers DAOs and communities to make informed, equitable decisions. Our protocol leverages cryptographic advancements and social science insights to establish a ranking system based on agent interactions, fostering a more engaging, secure, and meritocratic decision-making process.
We are a small team of passionate researchers and developers committed to advancing the field of decentralized governance. Our expertise spans cryptography, social science, software development, and blockchain technology.
We are looking for more people to join working with us. If you feel resonance - join us!
Whitepaper preprint, WIP
App Website
Research collective website
Our protocol has the potential to revolutionize governance in DAOs and beyond. By fostering a more engaging, equitable, and secure decision-making process, we can empower communities to achieve their goals and unlock the full potential of decentralized collaboration.
This grant will enable us to:
Effective decision-making is hindered by communication complexities.
Despite modern networking and project management technologies, the primary, basis of hierarchical communication hasn’t changed much over centuries. Decisions still require large centralization force, which will step in and cut opinions to shape performance capable decision.
Current DAO governance models often suffer from low participation, centralization, and susceptibility to manipulation. These challenges hinder the full potential of decentralized organizations and can lead to inefficient or unfair outcomes.
Research shows that many DAOs are highly centralized, with low participation rates and vulnerability to governance attacks. The incentive structures in Proof of Stake (PoS) and Proof of Work (PoW) systems can lead to centralization.
Our autonomous competence identification protocol addresses these issues by:
Our main focus is to provide this as OSS Public goods, while we also offer enterprise solutions based on same research
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