Bulletin of Chinese Academy of Sciences (Chinese Version)
Keywords
intelligent science, decentralized science (DeSci), decentralized autonomous organizations and operations (DAOs), artificial intelligence for science (AI4S), generative artificial intelligence (GAI), ChatGPT
Document Type
Disciplinary Development
Abstract
The rise of artificial intelligence for science (AI4S) has made it particularly important and urgent to ensure the openness, fairness, impartiality, diversity, and sustainability of scientific systems. This is significant to the discourse power and leadership of countries in global innovation and industrial revolution, and also affects the security, stability, and sustainable development of a community with a shared future for mankind. To address these challenges, AI4S needs to adopt new scientific organizational and operational methods. Decentralized science (DeSci) has emerged to vitalize AI4S and provide strong support, effectively addressing issues such as information silos, biases, unfair distribution, and monopolies in existing research systems, and promoting multidisciplinary, interdisciplinary, and transdisciplinary cooperation in science. This study defines the basic concepts, characteristics, and framework of DeSci, analyzes its current research and application status, and explores the implications and significance of DeSci for the further development of the scientific systems.
First page
1501
Last Page
1509
Language
Chinese
Publisher
Bulletin of Chinese Academy of Sciences
References
1 Van Dis E A M, Bollen J, Zuidema W, et al. ChatGPT: Five priorities for research. Nature, 2023, 614: 224-226.
2 Miao Q, Huang M, Lv Y, et al. Parallel learning between science for AI and AI for science: A brief overview and perspective. 2022 Australian & New Zealand Control Conference (ANZCC), 2022, 171-175.
3 Larivière V, Macaluso B, Mongeon P, et al. Vanishing industries and the rising monopoly of universities in published research. PLoS One, 2018, 13(8): e0202120.
4 Phillips M, Knoppers B M. Whose commons? Data protection as a legal limit of open science. The Journal of Law, Medicine & Ethics, 2019, 47(1): 106-111.
5 Hamburg S. Call to join the decentralized science movement. Nature, 2021, 600: 221-221.
6 Dunbar S, Basile S. The decentralized science ecosystem: Building a better research economy. (2023-03-07)[2023-05-10]. https://messari.io/report/the-decentralized-science-ecosystem-building-a-better-research-economy.
7 FoundationEthereum. What is Decentralized Science (DeSci). (2022-12-03)[2023-06-17]. https://ethereum.org/en/desci/.
8 Wang F Y, Ding W, Wang X, et al. The DAO to DeSci: AI for free, fair, and responsibility sensitive sciences. IEEE Intelligent Systems, 2022, 37(2): 16-22.
9 Zald M N, Ash R. Social movement organizations: Growth, decay and change. Social Forces, 1966, 44(3): 327-341.
10 Wang F Y. Study on cyber-enabled social movement organizations based on social computing and parallel systems. Journal of University of Shanghai for Science and Technology, 2011, 33(1): 8-17.
11 Wang F Y. From AI to SciTS: Team science and research intelligence. IEEE Intelligent Systems, 2011, 26(3): 2-4.
12 王飞跃. SciTS:21世纪科技合作的灯塔? 科技导报, 2011, 29(12): 81.Wang F Y. SciTS: A beacon for 21st century scientific collaboration? Science & Technology Review, 2011, 29(12): 81. (in Chinese)
13 Wang F Y. The metaverse of mind: Perspectives on DeSci for DeEco and DeSoc. IEEE/CAA Journal of Automatica Sinica, 2022, 9(12): 2043-2046.
14 Ding W, Hou J, Li J, et al. DeSci based on Web3 and DAO: A comprehensive overview and reference model. IEEE Transactions on Computational Social Systems, 2022, 9(5): 1563-1573.
15 Ding W, Li J, Qin R, et al. A new architecture and mechanism for decentralized science metamarkets. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(9): 5321-5330.
16 Wang F Y. Parallel intelligence in metaverses: Welcome to Hanoi!. IEEE Intelligent Systems, 2022, 37(1): 16-20.
17 袁勇, 王飞跃. 区块链技术发展现状与展望. 自动化学报, 2016, 42(4): 481-494. Yuan Y, Wang F Y. Blockchain: The state of the art and future trends. Acta Automatica Sinica, 2016, 42(4): 481-494. (in Chinese)
18 Wang S, Ding W, Li J, et al. Decentralized autonomous organizations: Concept, model, and applications. IEEE Transactions on Computational Social Systems, 2019, 6(5): 870-878.
19 Ding W, Liang X, Hou J, et al. A novel approach for predictable governance of decentralized autonomous organizations based on parallel intelligence. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 53(5): 3092-3103.
20 Wang X, Yang J, Wang Y, et al. Steps toward industry 5.0: Building “6S” parallel industries with cyber-physical-social intelligence. IEEE/CAA Journal of Automatica Sinica, 2023, 10(8): 1692-1703.
21 Miao Q, Zheng W, Lv Y, et al. DAO to HANOI via DeSci: AI paradigm shifts from AlphaGo to ChatGPT. IEEE/CAA Journal of Automatica Sinica, 2023, 10(4): 887-897.
22 王飞跃, 缪青海, 张军平, 等. 探讨AI for Science的影响与意义:现状与展望. 智能科学与技术学报, 2023, 5(1): 1-6. Wang F Y, Miao Q H, Zhang J P, et al. The DAOs to AI for Science by DeSci: the state of the art and perspective. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 1-6. (in Chinese)
Recommended Citation
WANG, Feiyue and DING, Wenwen
(2023)
"Decentralized science (DeSci): A new paradigm for diverse and sustainable scientific development,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 38
:
Iss.
10
, Article 9.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20230513001
Available at:
https://bulletinofcas.researchcommons.org/journal/vol38/iss10/9
Included in
Artificial Intelligence and Robotics Commons, Development Studies Commons, Science and Technology Policy Commons, Statistical Models Commons