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Volume 8
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Proceeding Paper

Contemporary Topics of Big Data, Social Complexity and Social Epistemology †

by
Kang Ouyang
1,2
1
Institute of State Governance, Huazhong University of Science and Technology, Wuhan 430074, China
2
School of Philosophy, Huazhong University of Science and Technology, Wuhan 430074, China
†
Presented at the 2023 Summit of the International Society for the Study of Information (IS4SI 2023), Beijing, China, 14–16 August 2023.
Comput. Sci. Math. Forum 2023, 8(1), 82; https://doi.org/10.3390/cmsf2023008082
Published: 25 August 2023
(This article belongs to the Proceedings of 2023 International Summit on the Study of Information)
Versions Notes

Abstract

The emergence of big data increases the complexity of society, and it also provides new objects and perspectives for social epistemology research. This paper aims to comprehensively illustrate the social changes caused by big data and deeply understand the complexity of society, and it puts forward suggestions on how to expand and deepen the research of social epistemology.
Keywords: big data; social complexity; social epistemology big data; social complexity; social epistemology

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MDPI and ACS Style

Ouyang, K. Contemporary Topics of Big Data, Social Complexity and Social Epistemology. Comput. Sci. Math. Forum 2023, 8, 82. https://doi.org/10.3390/cmsf2023008082

AMA Style

Ouyang K. Contemporary Topics of Big Data, Social Complexity and Social Epistemology. Computer Sciences & Mathematics Forum. 2023; 8(1):82. https://doi.org/10.3390/cmsf2023008082

Chicago/Turabian Style

Ouyang, Kang. 2023. "Contemporary Topics of Big Data, Social Complexity and Social Epistemology" Computer Sciences & Mathematics Forum 8, no. 1: 82. https://doi.org/10.3390/cmsf2023008082

APA Style

Ouyang, K. (2023). Contemporary Topics of Big Data, Social Complexity and Social Epistemology. Computer Sciences & Mathematics Forum, 8(1), 82. https://doi.org/10.3390/cmsf2023008082

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