Researchers at SUSS compare DAO voting schemes and propose a new hybrid model for better efficiency.
A team of researchers at the Singapore University of Social Sciences recently conducted an appraisal of existing decentralized autonomous organization voting schemes to determine which was most efficient.
The techniques reviewed include: token-based quorum voting, quadratic voting, weighted and reputation-based voting, knowledge-extractable voting, multisig voting, holographic consensus, conviction voting, and rage quitting voting.Each voting scheme was rated according to five vectors comprising efficiency , fairness , scalability , robustness , and incentive schemes .
“We know that the downside of the conviction voting mechanism is that it takes time to approve an urgent proposal. To address this concern, we introduce a blind betting mechanism: each member could choose whether to bet on any proposals with a certain number of their tokens.” The team’s proposed scheme would also implement an incentive paradigm where those betting “veto” would sacrifice their tokens in the event consensus went to those voting “pass,” and vice-versa.
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