DeSci Based on Web3 and DAO: A Comprehensive Overview and Reference Model

【Author】 Ding, Wenwen; Hou, Jiachen; Li, Juanjuan; Guo, Chao; Qin, Jirong; Kozma, Robert; Wang, Fei-Yue

【Source】IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS

【影响因子】4.747

【Abstract】Decentralized science (DeSci) is a hot topic emerging with the development of Web3 or Web3.0 and decentralized autonomous organizations (DAOs) and operations. DeSci fundamentally differs from the centralized science (CeSci) and Open Science (OS) movement built in the centralized way with centralized protocols. It changes the basic structure and legacy norms of current scientific systems via reshaping the cooperation mode, value system, and incentive mechanism. As such, it can provide a viable path for solving bottleneck problems in the development of science, such as oligarchy, silos, and so on, and make science more fair, free, responsible, and sensitive. However, DeSci itself still faces many challenges, including scaling, balancing the quality of participants, system suboptimal loops, lack of accountability mechanism, and so on. Taking these into consideration, this article presents a systematic introduction of DeSci, proposes a novel reference model with a six-layer architecture, addresses the potential applications, and also outlines the key research directions in this emerging field. This article is committed to providing helpful guidance and reference for future research efforts on DeSci.

【Keywords】Analytical models; Systematics; Protocols; Decentralized autonomous organization; Computational modeling; Education; Computer architecture; CPSS; DAO; decentralized autonomous operations; decentralized autonomous organizations; decentralized funding; decentralized science; DeSci; metaverses; parallel DeSci; parallel intelligence; Web3

【发表时间】2022 OCT

【收录时间】2022-10-17

【文献类型】观点阐述

【主题类别】

区块链应用-实体经济-科研领域