| 分布式自主科学：科学多样可持续性发展的新范式 |
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| 引用本文： | 王飞跃,丁文文.分布式自主科学：科学多样可持续性发展的新范式[J].中国科学院院刊,2023,38(10):1501-1509. |
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| 作者姓名： | 王飞跃 丁文文 |
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| 作者单位： | 中国科学院自动化研究所 复杂系统管理与控制国家重点实验室 北京 100190;澳门科技大学 创新工程学院 澳门 999078 |
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| 基金项目： | 澳门特别行政区科学技术发展基金（0050/2020/A1） |
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| 摘 要： | 人工智能驱动的科学（artificial intelligence for science， AI4S）的兴起，使得如何确保科学系统的公开性、公平性、公正性和多样可持续性变得尤为重要和迫切。这关系到各国在全球创新和产业革新中的话语权和领导地位，同时也影响人类命运共同体的安全、稳定与可持续发展。为了应对这些挑战，AI4S需要引入新的科学组织和运营方式。基于Web3和分布式自主组织与运营（DAOs）等智能技术之上的分布式自主科学（decentralized science，DeSci）与AI4S相辅相成，为AI4S提供强有力的支撑。DeSci可以有效解决现有科研体系中的信息孤岛、偏见、不公平分配和垄断等问题，进而促进多学科、跨学科和交叉学科合作。文章首先从理论层面对DeSci的基本概念、特征和框架进行界定，其次分析DeSci的研究现状与应用现状，最后探讨和总结DeSci对于科学系统进一步发展的启示与意义。
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| 关 键 词： | 智能科学 分布式自主科学 分布式自主组织 人工智能驱动的科学 生成式人工智能 ChatGPT |
| 收稿时间： | 2023/10/9 0:00:00 |
Decentralized science (DeSci): A new paradigm for diverse and sustainable scientific development |
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| WANG Fei-Yue,DING Wenwen.Decentralized science (DeSci): A new paradigm for diverse and sustainable scientific development[J].Bulletin of the Chinese Academy of Sciences,2023,38(10):1501-1509. |
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| Authors: | WANG Fei-Yue DING Wenwen |
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| Institution: | The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;Faculty of Innovation Engineering, Macau University of Science and Technology, Macao 999078, China |
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| 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. |
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| Keywords: | intelligent science decentralized science (DeSci) decentralized autonomous organizations and operations (DAOs) artificial intelligence for science (AI4S) generative artificial intelligence (GAI) ChatGPT |
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