title: On disciplinary fragmentation and scientific progress.
abstract: Why are some scientific disciplines, such as sociology and psychology, more fragmented into conflicting schools of thought than other fields, such as physics and biology? Furthermore, why does high fragmentation tend to coincide with limited scientific progress? We analyzed a formal model where scientists seek to identify the correct answer to a research question. Each scientist is influenced by three forces: (i) signals received from the correct answer to the question; (ii) peer influence; and (iii) noise. We observed the emergence of different macroscopic patterns of collective exploration, and studied how the three forces affect the degree to which disciplines fall apart into divergent fragments, or so-called "schools of thought". We conducted two simulation experiments where we tested (A) whether the three forces foster or hamper progress, and (B) whether disciplinary fragmentation causally affects scientific progress and vice versa. We found that fragmentation critically limits scientific progress. Strikingly, there is no effect in the opposite causal direction. What is more, our results shows that at the heart of the mechanisms driving scientific progress we find (i) social interactions, and (ii) peer disagreement. In fact, fragmentation is increased and progress limited if the simulated scientists are open to influence only by peers with very similar views, or when within-school diversity is lost. Finally, disciplines where the scientists received strong signals from the correct answer were less fragmented and experienced faster progress. We discuss model's implications for the design of social institutions fostering interdisciplinarity and participation in science.
authors: Professorship of Computational Social Science, ETH Zurich, Switzerland.
authors: Stefano
authors: S
authors: Balietti
authors: Professorship of Computational Social Science, ETH Zurich, Switzerland.
authors: Michael
authors: M
authors: Mäs
authors: Professorship of Computational Social Science, ETH Zurich, Switzerland.
authors: Dirk
authors: D
authors: Helbing
mesh_terms: D003198:Computer Simulation; D006801:Humans; D008962:Models, Theoretical; D010811:Natural Science Disciplines / Q000379:methods* / Q000592:standards*; D012586:Science / Q000379:methods* / Q000592:standards*; D012919:Social Behavior