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Quantifying Interdisciplinarity in Cognitive Science and Beyond.

Pablo Contreras Kallens1, Rick Dale2, Morten H Christiansen1,3,4

  • 1Department of Psychology, Cornell University.

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|March 28, 2022
PubMed
Summary
This summary is machine-generated.

Cognitive science journals exhibit greater interdisciplinary collaboration than expected, challenging claims of declining interdisciplinarity. A new "mixture of expertise" metric reveals this, suggesting diverse theoretical perspectives enhance research.

Keywords:
Cognitive scienceInterdisciplinarityJensen-Shannon divergenceSemantic modeling

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Area of Science:

  • Cognitive Science
  • Interdisciplinary Studies

Background:

  • Concerns exist regarding the perceived dominance of psychology in cognitive science.
  • Previous assessments of interdisciplinarity may be limited by narrow definitions of collaboration.

Purpose of the Study:

  • To propose a renewed conception of interdisciplinarity as a "mixture of expertise."
  • To develop and apply an information-theoretic measure to quantify interdisciplinarity in academic publications.

Main Methods:

  • An information-theoretic measure was developed to quantify the "mixture of expertise" in research.
  • This measure was applied to analyze multiauthored articles in various academic journals.

Main Results:

  • Cognitive science journals demonstrate a higher degree of expertise mixing compared to topically related journals.
  • Emerging diverse theoretical perspectives may contribute to the perception of diminishing interdisciplinarity.

Conclusions:

  • A broader conception of interdisciplinarity, focusing on the "mixture of expertise," offers valuable insights.
  • This approach highlights the complex and evolving nature of interdisciplinary collaboration in scientific fields.