Democracy for DAOs: An Empirical Study of Decentralized Governance and Dynamic (Case Study Internet Computer SNS Ecosystem)

2025-07-27

AI Summary

This study investigates governance effectiveness in decentralized autonomous organizations (DAOs) operating without centralized leadership. Focusing on the Service Nervous System (SNS) framework of the Internet Computer Protocol, it conducts an empirical analysis of over 3,000 proposals across 14 cross-domain DAOs (including DeFi and gaming) over a 20-month period. Using metrics including participation rate, proposal frequency, approval rate, and decision latency—augmented by cross-chain comparative analysis—the study finds that the SNS mechanism significantly enhances governance sustainability: user participation does not decay over time but consistently increases; decisions are reached faster, operational overhead is reduced, and approval rates remain more stable. This work provides the first systematic empirical validation of the SNS governance framework’s structural advantages in sustaining long-term user engagement and improving decentralized decision-making efficiency, offering evidence-based design principles and mechanistic insights for scalable, high-activity DAOs.

Technology Category

• Multiagent Systems: Mechanism Design
• Search and Optimization: Distributed Search
• Application Domains: Humanities & Computational Social Science

Application Category

• Economics, Online Markets and Human Computation: Sustainability of Web economics
• Systems and Infrastructure for Web, Mobile and WoT: Decentralized Web and Fediverse systems
• Security and Privacy: Data transparency and provenance

Abstract

Decentralized autonomous organizations (DAOs) rely on governance mechanism without centralized leadership. This paper presents an empirical study of user behavior in governance for a variety of DAOs, ranging from DeFi to gaming, using the Internet Computer Protocol DAO framework called SNS (Service Nervous System). To analyse user engagement, we measure participation rates and frequency of proposals submission and voter approval rates. We evaluate decision duration times to determine DAO agility. To investigate dynamic aspects, we also measure metric shifts in time. We evaluate over 3,000 proposals submitted in a time frame of 20 months from 14 SNS DAOs. The selected DAO have been existing between 6 and 20 months and cover a wide spectrum of use cases, treasury sizes, and number of participants. We also compare our results for SNS DAOs with DAOs from other blockchain platforms. While approval rates are generally high for all DAOs studied, SNS DAOs show slightly more alignment. We observe that the SNS governance mechanisms and processes in ICP lead to higher activity, lower costs and faster decisions. Most importantly, in contrast to studies which report a decline in participation over time for other frameworks, SNS DAOs exhibit sustained or increasing engagement levels over time.

Problem

• Analyzes user behavior in DAO governance across various sectors
• Evaluates decision speed and engagement metrics in SNS DAOs
• Compares SNS DAO performance with other blockchain governance systems

Innovation

• Empirical study of DAO governance using SNS
• Measures participation rates and proposal metrics
• SNS DAOs show higher activity and faster decisions