The Evolutionary Dynamics of Discursive Knowledge Communication-Theoretical Perspectives on an Empirical Philosophy of Science

The Evolutionary Dynamics of Discursive Knowledge Communication-Theoretical Perspectives on an Empirical Philosophy of Science

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This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-governmen...

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Bibliographic Details
Main Author: Leydesdorff, Loet (auth)
Format: Electronic Book Chapter
Language:English
Published: Springer Nature 2021
Series:Qualitative and Quantitative Analysis of Scientific and Scholarly Communication
Subjects:
Social research & statistics
Sociology
Communication studies
Market research
Semantics, discourse analysis, etc
Research Methodology
Knowledge - Discourse
Communication Studies
Market Research/Competitive Intelligence
Semantics
Sociological Methods
Biotechnology
Media and Communication
Marketing
Linguistics
Triple-Helix synergy
A calculus of redundancy
horizons of meaning
anticipatory systems
operationalisation and measurement
neo-evolutionary
social-systems theory
entropy statistics
open access
Semantics, discourse analysis, stylistics
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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Summary:This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-government relations. In this study, I discuss the relations among these themes. Using Luhmann's social-systems theory for modelling meaning processing and Shannon's theory for information processing, I show that synergy can add new options to an innovation system as redundancy. The capacity to develop new options is more important for innovation than past performance. Entertaining a model of possible future states makes a knowledge-based system increasingly anticipatory. The trade-off between the incursion of future states on the historical developments can be measured using the Triple-Helix synergy indicator. This is shown, for example, for the Italian national and regional systems of innovation.
Physical Description:1 electronic resource (247 p.)
ISBN:978-3-030-59951-5
Access:Open Access

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