Interdisciplinarity can aid the spread of better methods between scientific communities. Issue 2 (30th August 2022)

• Record Type: Journal Article
• Authors: Smaldino, Paul E; O'Connor, Cailin
• Is Part Of: Collective intelligence. Volume 1:Issue 2(2022)
• Publication Date: 2022-08-30
• Subjects: interdisciplinary -- cultural evolution -- bias -- competence -- agent-based model -- metascience; Computational intelligence -- Periodicals; Collective behavior -- Periodicals; Swarm intelligence -- Periodicals; 006.3
• DOI: 10.1177/26339137221131816
• Languages: English
• ISSNs: 2633-9137

Abstract

Why do bad methods persist in some academic disciplines, even when they have been widely rejected in others? What factors allow good methodological advances to spread across disciplines? In this paper, we investigate some key features determining the success and failure of methodological spread between the sciences. We introduce a formal model that considers factors like methodological competence and reviewer bias toward one's own methods. We show how these self-preferential biases can protect poor methodology within scientific communities, and lack of reviewer competence can contribute to failures to adopt better methods. We then use a second model to argue that input from outside disciplines can help break down barriers to methodological improvement. In doing so, we illustrate an underappreciated benefit of interdisciplinarity.