Knowledge transfer in agent-based computational social science

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This article addresses knowledge transfer dynamics in agent-based computational social science. The
goal of the text is twofold. First, it describes the tensions arising from the convergence of different
disciplinary traditions in the emergence of this new area of study and, second, it shows how these
tensions are dealt with through the articulation of distinctive practices of knowledge production and
transmission. To achieve this goal, three major instances of knowledge transfer dynamics in agent-based
computational social science are analysed. The first instance is the emergence of the research field.
Relations of knowledge transfer and cross-fertilisation between agent-based computational social science
and wider and more established disciplinary areas: complexity science, computational science and
social science, are discussed. The second instance is the approach to scientific modelling in the field. It is
shown how the practice of agent-based modelling is affected by the conflicting coexistence of shared
methodological commitments transferred from both empirical and formal disciplines. Lastly, the third
instance pertains internal practices of knowledge production and transmission. Through the discussion
of these practices, the tensions arising from converging dissimilar disciplinary traditions in agent-based
computational social science are highlighted.
Original languageEnglish (US)
JournalStudies in History and Philosophy of Science Part A
DOIs
StatePublished - May 21 2018

All Science Journal Classification (ASJC) codes

  • History
  • History and Philosophy of Science

Cite this

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title = "Knowledge transfer in agent-based computational social science",
abstract = "This article addresses knowledge transfer dynamics in agent-based computational social science. Thegoal of the text is twofold. First, it describes the tensions arising from the convergence of differentdisciplinary traditions in the emergence of this new area of study and, second, it shows how thesetensions are dealt with through the articulation of distinctive practices of knowledge production andtransmission. To achieve this goal, three major instances of knowledge transfer dynamics in agent-basedcomputational social science are analysed. The first instance is the emergence of the research field.Relations of knowledge transfer and cross-fertilisation between agent-based computational social scienceand wider and more established disciplinary areas: complexity science, computational science andsocial science, are discussed. The second instance is the approach to scientific modelling in the field. It isshown how the practice of agent-based modelling is affected by the conflicting coexistence of sharedmethodological commitments transferred from both empirical and formal disciplines. Lastly, the thirdinstance pertains internal practices of knowledge production and transmission. Through the discussionof these practices, the tensions arising from converging dissimilar disciplinary traditions in agent-basedcomputational social science are highlighted.",
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N2 - This article addresses knowledge transfer dynamics in agent-based computational social science. Thegoal of the text is twofold. First, it describes the tensions arising from the convergence of differentdisciplinary traditions in the emergence of this new area of study and, second, it shows how thesetensions are dealt with through the articulation of distinctive practices of knowledge production andtransmission. To achieve this goal, three major instances of knowledge transfer dynamics in agent-basedcomputational social science are analysed. The first instance is the emergence of the research field.Relations of knowledge transfer and cross-fertilisation between agent-based computational social scienceand wider and more established disciplinary areas: complexity science, computational science andsocial science, are discussed. The second instance is the approach to scientific modelling in the field. It isshown how the practice of agent-based modelling is affected by the conflicting coexistence of sharedmethodological commitments transferred from both empirical and formal disciplines. Lastly, the thirdinstance pertains internal practices of knowledge production and transmission. Through the discussionof these practices, the tensions arising from converging dissimilar disciplinary traditions in agent-basedcomputational social science are highlighted.

AB - This article addresses knowledge transfer dynamics in agent-based computational social science. Thegoal of the text is twofold. First, it describes the tensions arising from the convergence of differentdisciplinary traditions in the emergence of this new area of study and, second, it shows how thesetensions are dealt with through the articulation of distinctive practices of knowledge production andtransmission. To achieve this goal, three major instances of knowledge transfer dynamics in agent-basedcomputational social science are analysed. The first instance is the emergence of the research field.Relations of knowledge transfer and cross-fertilisation between agent-based computational social scienceand wider and more established disciplinary areas: complexity science, computational science andsocial science, are discussed. The second instance is the approach to scientific modelling in the field. It isshown how the practice of agent-based modelling is affected by the conflicting coexistence of sharedmethodological commitments transferred from both empirical and formal disciplines. Lastly, the thirdinstance pertains internal practices of knowledge production and transmission. Through the discussionof these practices, the tensions arising from converging dissimilar disciplinary traditions in agent-basedcomputational social science are highlighted.

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