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The Economics of Blockchain Governance: Evaluate Liquid Democracy on the Internet Computer (2404.13768v2)

Published 21 Apr 2024 in econ.GN and q-fin.EC

Abstract: Decentralized Autonomous Organizations (DAOs), utilizing blockchain technology to enable collective governance, are a promising innovation. This research addresses the ongoing query in blockchain governance: How can DAOs optimize human cooperation? Focusing on the Network Nervous System (NNS), a comprehensive on-chain governance framework underpinned by the Internet Computer Protocol (ICP) and liquid democracy principles, we employ theoretical abstraction and simulations to evaluate its potential impact on cooperation and economic growth within DAOs. Our findings emphasize the significance of the NNS's staking mechanism, particularly the reward multiplier, in aligning individual short-term interests with the DAO's long-term prosperity. This study contributes to the understanding and effective design of blockchain-based governance systems.

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References (25)
  1. Q. Ding, D. Liebau, Z. Wang, and W. Xu, “A survey on decentralized autonomous organizations (daos) and their governance,” Available at SSRN 4378966, 2023.
  2. V. Laturnus, “The economics of decentralized autonomous organizations,” Available at SSRN 4320196, 2023.
  3. R. Feichtinger, R. Fritsch, Y. Vonlanthen, and R. Wattenhofer, “The hidden shortcomings of (d) aos–an empirical study of on-chain governance,” arXiv preprint arXiv:2302.12125, 2023.
  4. Y. Bakos and H. Halaburda, “Will blockchains disintermediate platforms? the problem of credible decentralization in daos,” The Problem of Credible Decentralization in Daos (August 7, 2022), 2022.
  5. J. Austgen, A. Fábrega, S. Allen, K. Babel, M. Kelkar, and A. Juels, “Dao decentralization: Voting-bloc entropy, bribery, and dark daos,” arXiv preprint arXiv:2311.03530, 2023.
  6. Y. Liu, Q. Lu, G. Yu, H.-Y. Paik, H. Perera, and L. Zhu, “A pattern language for blockchain governance,” in Proceedings of the 27th European Conference on Pattern Languages of Programs, pp. 1–16, 2022.
  7. T. Hanke, M. Movahedi, and D. Williams, “Dfinity technology overview series, consensus system,” arXiv preprint arXiv:1805.04548, 2018.
  8. D. Team et al., “The internet computer for geeks,” Cryptology ePrint Archive, 2022.
  9. Innovate on the Internet Computer. No. 1 in Industry 4.0 Open Educational Resources Publication Initiatives, 2022.
  10. Y. Liu and L. Zhang, “Cryptocurrency valuation: An explainable ai approach,” in Intelligent Computing (K. Arai, ed.), (Cham), pp. 785–807, Springer Nature Switzerland, 2023.
  11. L. Zhang, T. Wu, S. Lahrichi, C.-G. Salas-Flores, and J. Li, “A data science pipeline for algorithmic trading: A comparative study of applications for finance and cryptoeconomics,” in 2022 IEEE International Conference on Blockchain, pp. 298–303, 2022.
  12. H. Yu, Y. Sun, Y. Liu, and L. Zhang, “Bitcoin gold, litecoin silver: An introduction to cryptocurrency valuation and trading strategy,” in Advances in Information and Communication (K. Arai, ed.), pp. 573–586, Cham: Springer Nature Switzerland, 2024.
  13. Y. Fu, Z. Zhuang, and L. Zhang, “Ai ethics on blockchain: Topic analysis on twitter data for blockchain security,” in Intelligent Computing (K. Arai, ed.), (Cham), pp. 82–100, Springer Nature Switzerland, 2023.
  14. L. Zhang, Y. Sun, Y. Quan, J. Cao, and X. Tong, “On the mechanics of nft valuation: Ai ethics and social media,” arXiv Preprint arXiv:2307.10201, 2023.
  15. Y. Quan, X. Wu, W. Deng, and L. Zhang, “Decoding social sentiment in dao: A comparative analysis of blockchain governance communities,” arXiv preprint arXiv:2311.14676, 2023.
  16. Y. Xiao, B. Deng, K. Z. Z. Siqi Chen, R. Lc, L. Zhang, and X. Tong, “”centralized or decentralized?”: Concerns and value judgments of stakeholders in the non-fungible tokens (nfts) market,” in Forthcoming at ACM CSCW 2024, (New York, NY, USA), Association for Computing Machinery, 2023.
  17. L. Zhang, “The future of finance: Synthesizing cefi and defi for the benefit of all,” in Financial Literacy in Today´s Global Market (D. I. Miciuła, ed.), ch. 0, Rijeka: IntechOpen, 2023.
  18. Z. Ao, G. Horvath, and L. Zhang, “Is decentralized finance actually decentralized? a social network analysis of the aave protocol on the ethereum blockchain,” arXiv preprint arXiv.2206.08401, 2023.
  19. Y. Zhang, Z. Chen, Y. Sun, Y. Liu, and L. Zhang, “Blockchain network analysis: A comparative study of decentralized banks,” in Intelligent Computing (K. Arai, ed.), (Cham), pp. 1022–1042, Springer Nature Switzerland, 2023.
  20. T. Yan, S. Li, B. Kraner, L. Zhang, and C. J. Tessone*, “Analyzing reward dynamics and decentralization in ethereum 2.0: An advanced data engineering workflow and comprehensive datasets for proof-of-stake incentives,” arXiv preprint arXiv:2402.11170, 2024.
  21. N. Chemaya, L. W. Cong, E. Jorgensen, D. Liu, and L. Zhang, “Uniswap daily transaction indices by network,” arXiv preprint arXiv:2312.02660, 2023.
  22. A. Augusto, R. Belchior, M. Correia, A. Vasconcelos, L. Zhang, and T. Hardjono, “Sok: Security and privacy of blockchain interoperability,” in Forthcoming at IEEE Security & Privacy 2024.
  23. L. Zhang and F. Zhang, “Understand waiting time in transaction fee mechanism: An interdisciplinary perspective,” 2023.
  24. L. Zhang, X. Ma, and Y. Liu, “Sok: Blockchain decentralization,” arXiv preprint arXiv.2205.04256, 2023.
  25. Y. Liu, Y. Lu, K. Nayak, F. Zhang, L. Zhang, and Y. Zhao, “Empirical analysis of eip-1559: Transaction fees, waiting times, and consensus security,” in Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, CCS ’22, (New York, NY, USA), p. 2099–2113, Association for Computing Machinery, 2022.
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