JOURNAL OF DIALECTICS OF NATURE
A Comprehensive, Academic Journal of the Philosophy, History, Sociology and Cultural Studies of Science and Technology
Author Information
CAO Wei
Information
<p>College of Economics & Management</p><p>Taiyuan University of Technology</p><p>cwei212@163.com</p>
Research Articles
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An Analysis of the Composition and Optimization of the Space Network of Regional Innovation Environment Abstract: Focusing on China's regional innovation environment, this paper uses social network analysis method to evaluate the regional innovation environment from three aspects: network structure, network optimization and network block. The results are as follows. (1) The network has strong connectivity, high innovation cohesion and innovation resource flow and radiation can weaken the geographical distance on the regional innovation and development impact. (2) Regional innovation environment has larger gaps, and the developed areas did not produce a strong spillover effect. (3) The network is less robust, and provinces such as Shaanxi, and Gansu failed to give full play to its bridge role between the northwest and central region of the Based on these results, this paper constructs the realization path of the three "active circles" of regional innovation environment network diffusion and cross-regional development. This article provides a certain theoretical guidance and managerial implication for narrowing the regional economic gap.Issue:Volume 40, lssue 10, October 2018Page: 96-104
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Knowledge Power in the Algorithmic Age: AI’s Reshaping of Scientific Collaboration and Publicness Abstract: Artificial Intelligence for Science (AI4S) is giving rise to a new form of knowledge power. On the one hand, it is embodied as “computing power hegemony,” whereby “hard” infrastructure, such as large cloud platforms, imposes a technological discipline on scientific practice through their “black box” nature and API lock-in, fostering new technological dependencies. On the other hand, it manifests itself as a “walled garden”, whereby tech giants leverage foundational models to construct “soft” platform ecosystems, enclosing open knowledge resources as paid services and eroding the public nature of science. These two forms of power reinforce each other, simultaneously undermining scientific autonomy and the public character of knowledge while weakening scientific norms represented by Mertonian norms. A clear understanding of the forms and operational mechanisms of this emerging knowledge power will help reconstruct the public nature of science within this new power landscape. Key Words: AI for Science; Power discipline; Walled garden; Digital commons; Open scienceIssue:Volume 48, lssue 2, February 2026Page: 20-27
JOURNAL OF DIALECTICS OF NATURE
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