AI Article Synopsis
- Some publications criticize psychology's dominance in cognitive science, but this view is based on a narrow understanding of interdisciplinary collaboration.
- The authors propose a new definition of interdisciplinarity as a "mixture of expertise" and introduce an information-theoretic measure to analyze multiauthored articles.
- Findings reveal that cognitive science journals blend expertise more effectively than journals focused on specific topics, and perceptions of reduced interdisciplinarity might stem from varying theoretical perspectives.
Article Abstract
Recent publications have lamented the dominance of psychology in cognitive science. However, this relies on a limited definition of collaboration between fields. We call for a renewed conception of interdisciplinarity as a "mixture of expertise." We describe an information-theoretic measure of interdisciplinarity and apply it to multiauthored published articles. Results suggest that cognitive science journals mix expertise more than topically related journals. We suggest that perceptions of diminishing interdisciplinarity may in part be due to the emergence of different theoretical perspectives and use a semantic model to illustrate this argument. We conclude by describing some benefits of this broader conception.
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| http://dx.doi.org/10.1111/tops.12609 | DOI Listing |
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