An analysis of knowledge-production structure and recent trends of technological regulation studies

2020 ◽  
Vol 23 (1) ◽  
pp. 89-110
Author(s):  
Ki-Seok Kwon ◽  
Myungsoon Kim ◽  
Kwang-Ho Lee
Author(s):  
Sergey Maruev ◽  
Dmitry Stefanovskyi ◽  
Alexander Troussov

Nowadays, most of the digital content is generated within techno-social systems like Facebook or Twitter where people are connected to other people and to artefacts such as documents and concepts. These networks provide rich context for understanding the role of particular nodes. It is widely agreed that one of the most important principles in the philosophy of language is Frege's context principle, which states that words have meaning only in the context of a sentence. This chapter puts forward the hypothesis that semantics of the content of techno-social systems should be also analysed in the context of the whole system. The hypothesis is substantiated by the introduction of a method for formal modelling and mining of techno-social systems and is corroborated by a discussion on the nature of meaning in philosophy. In addition we provide an overview of recent trends in knowledge production and management within the context of our hypothesis.


2022 ◽  
pp. 599-611
Author(s):  
Quan Chen ◽  
Jiangtao Wang ◽  
Ruiqiu Ou ◽  
Sang-Bing Tsai

Mass production has attracted much attention as a new approach to knowledge production. The R software system is a typical product of mass production. For its unique architecture, the R software system accurately recorded the natural process of knowledge propagation and inheritance. Thus, this article established a dynamic complex network model based on the derivative relationship between R software packages, which reflects the evolution process of online knowledge production structure in R software system, and studied the process of knowledge propagation and inheritance via the dynamic complex network analysis method. These results show that the network size increases with time, reflecting the tendency of R software to accelerate the accumulation of knowledge. The network density and network cohesion decrease with the increase of scale, indicating that the knowledge structure of R software presents a trend of expansion. The unique extension structure of R software provides a rich research foundation for the propagation of knowledge; thus, the results can provide us a new perspective for knowledge discovery and technological innovation.


2015 ◽  
Vol IV Série (Nº 6) ◽  
pp. 35-43
Author(s):  
Leonel Preto ◽  
Matilde Martins ◽  
Manuel Brás ◽  
Maria Pimentel ◽  
Cayetano Fernández-Sola

2020 ◽  
Vol 6 (4) ◽  
pp. 18537-18551
Author(s):  
Madson de Santana Santos ◽  
Alfrancio Ferreira Dias ◽  
Ivanderson Pereira Silva ◽  
Pedro Paulo Souza Rios ◽  
Anselmo Lima Oliveira

Politik ◽  
2014 ◽  
Vol 17 (2) ◽  
Author(s):  
Peter Marcus Kristensen ◽  
Ras Tind Nielsen

This article maps the emergence and development of Chinese discourses about China’s rise in international politics. It examines how the production of knowledge, particularly theories on international relations and grand strategy, develop in their travels between the scienti c and political as well as the international and national. Taking its point of departure in the sociology of science, the article sets out to understand the interplay between social, political, and intellectual conditions for knowledge production in today’s Interna- tional Relations (IR) research in China. Contrary to the conventional notion that Chinese social science is determined by political preferences, the paper argues 1) that the ideal of (pure) science and (dirty) politics as two separate spheres is di cult to sustain in the empirical analysis of knowledge production (in China and elsewhere) and 2) that more often than not important policy ideas and theories, such ‘Peaceful Rise’, the ‘Chinese School’ or ‘Harmonious World’ have emerged from a productive relationship between science and politics. e analysis of Chinese IR discourse shows that Chinese scholars and experts might play a more in uential role in the formulation of foreign policy concepts than usually assumed. 


2007 ◽  
Vol 20 (1) ◽  
pp. 51-72
Author(s):  
Wolgang Zierhofer ◽  
Paul Burger

Within the discourse promoting transdisciplinary research (TDR), also referred to as Mode 2 science, it is often claimed that scientifically coping with urgent life-world problems calls for interdisciplinary participatory research (or TDR), and that this represents a new mode of knowledge production. Although we look upon TDR as a fertile innovation, we have epistemological and methodological concerns in treating TDR as a (singular) new mode of knowledge production. Hence, our paper attempts to contribute to clarifying the meaning of TDR from an epistemological and methodological perspective. We develop a conceptual scheme for the analysis of knowledge production in problem-oriented research, which is subsequently applied to an empirical analysis of 16 transdisciplinary research projects. In our analysis, we focus upon forms of knowledge integration and participation. The results indicate that, from an epistemological point of view, TDR does not represent a specific mode of knowledge production, but a rather heterogeneous conglomeration of different research activities. In order to evaluate the epistemic potential of TDR, we conclude that it would be wise to disentangle it methodologically into various types of research objectives and related research instruments.


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