Quadratic Funding in Blockchain-Based DAO: Empirical Analysis and Future Prospects

This paper provides an in-depth analysis of the application of the Quadratic Funding (QF) mechanism in blockchain-based Decentralized Autonomous Organizations (DAOs) of the QF mechanism. Then, the empirical analysis on the influence of QF on promoting project funding is examined, taking the first round of BNB funding on the DoraHacks platform as the exemplar. The focus has been put on its performance on community voting and fund allocation as well as its real-world impact. Finally, based on the analysis results, the paper proposes improvements to the QF mechanism and presents forward-looking strategies for applying Large Language Models (LLMs) in decentralized decision-making. These insights provide valuable perspectives for understanding and optimizing Decentralized Finance (DeFi).

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/dtpi61353.2024.10778792
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.78

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article

Quadratic Funding in Blockchain-Based DAO: Empirical Analysis and Future Prospects

Pingan Song, Fei Lin, Tao-Ni Zhang, Siji Ma et al.
1 citations
Blockchain Technology Applications and Security
0.78
article

Quadratic Funding in Blockchain-Based DAO: Empirical Analysis and Future Prospects

Pingan Song, Fei Lin, Tao-Ni Zhang, Siji Ma, Jun Huang, Juanjuan Li
article en
1 citations

Abstract

This paper provides an in-depth analysis of the application of the Quadratic Funding (QF) mechanism in blockchain-based Decentralized Autonomous Organizations (DAOs) of the QF mechanism. Then, the empirical analysis on the influence of QF on promoting project funding is examined, taking the first round of BNB funding on the DoraHacks platform as the exemplar. The focus has been put on its performance on community voting and fund allocation as well as its real-world impact. Finally, based on the analysis results, the paper proposes improvements to the QF mechanism and presents forward-looking strategies for applying Large Language Models (LLMs) in decentralized decision-making. These insights provide valuable perspectives for understanding and optimizing Decentralized Finance (DeFi).

Macau University of Science and Technology (MO), Chinese Academy of Sciences (CN), Shandong Institute of Automation (CN)
National Natural Science Foundation of China, Science and Technology Development Fund
Openalex Percentile: Top 19%
Blockchain Technology Applications and Security
0.78
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Quadratic Funding in Blockchain-Based DAO: Empirical Analysis and Future Prospects — Pingan Song, Fei Lin, et al. · (2024) | TGRS Research Map | TGRS