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The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

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

Ding, Wenwen, Hou, Jiachen, Li, Juanjuan, Guo, Chao, Qin, Jirong, Kozma, Robert, Wang, Fei-Yue·2022·IEEE Transactions on Computational Social Systems
DOI 10.1109/tcss.2022.3204745
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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.

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  • DeSci lacks a robust, universally accepted organizational framework to address its inherent complexities and optimize its transformative capabilities.

    “However, the novel field of DeSci faces challenges such as the absence of a robust, universally accepted organizational framework that can address its inherent complexities and optimize its transformative capabilities.”

    From Adapting Mintzberg’s organizational theory to DeSci: the decentralized science pyramid framework (2024) · cites this paper as Ding et al., 2022

  • Existing scientific publications focusing on DeSci infrastructure are limited and often operate without a comprehensive theoretical foundation.

    “Existing scientific publications focusing on the DeSci infrastructure are limited and often operate without a comprehensive theoretical foundation; thus, a structured approach essential for effectively navigating and optimizing the DeSci ecosystem is lacking (Ding et al., 2022;Mayr, 2022).”

    From Adapting Mintzberg’s organizational theory to DeSci: the decentralized science pyramid framework (2024) · cites this paper as Ding et al., 2022

Citations

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Metadata

Authors
Ding, W., Hou, J., Li, J., Guo, C., Qin, J., Kozma, R., & Wang, F.-Y.
Affiliations
  • Macao Institute of Systems Engineering, Macau University of Science and Technology, Macao, China
  • State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China
  • North Automatic Control Technology Institute, Taiyuan, China
  • Department of Computer Science and Mathematics, The University of Memphis, Memphis, TN, USA
ORCID
Venue
IEEE Transactions on Computational Social Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2022-10
Volume
9
Issue
5
Pages
1563-1573
ISSN
  • 2329-924X
  • 2373-7476
DOI
10.1109/tcss.2022.3204745
Cited by
98
References
1
Licence
Funders
  • Science and Technology Development Fund, Macau Special Administrative Region (0050/2020/A1)
  • National Natural Science Foundation of China (62103411)
  • International Partnership Program of the Chinese Academy of Sciences (GJHZ202112)

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