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      On Disciplinary Fragmentation and Scientific Progress

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      PLoS ONE
      Public Library of Science

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          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.

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          Most cited references7

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          Novel Type of Phase Transition in a System of Self-Driven Particles

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            “Positive” Results Increase Down the Hierarchy of the Sciences

            The hypothesis of a Hierarchy of the Sciences with physical sciences at the top, social sciences at the bottom, and biological sciences in-between is nearly 200 years old. This order is intuitive and reflected in many features of academic life, but whether it reflects the “hardness” of scientific research—i.e., the extent to which research questions and results are determined by data and theories as opposed to non-cognitive factors—is controversial. This study analysed 2434 papers published in all disciplines and that declared to have tested a hypothesis. It was determined how many papers reported a “positive” (full or partial) or “negative” support for the tested hypothesis. If the hierarchy hypothesis is correct, then researchers in “softer” sciences should have fewer constraints to their conscious and unconscious biases, and therefore report more positive outcomes. Results confirmed the predictions at all levels considered: discipline, domain and methodology broadly defined. Controlling for observed differences between pure and applied disciplines, and between papers testing one or several hypotheses, the odds of reporting a positive result were around 5 times higher among papers in the disciplines of Psychology and Psychiatry and Economics and Business compared to Space Science, 2.3 times higher in the domain of social sciences compared to the physical sciences, and 3.4 times higher in studies applying behavioural and social methodologies on people compared to physical and chemical studies on non-biological material. In all comparisons, biological studies had intermediate values. These results suggest that the nature of hypotheses tested and the logical and methodological rigour employed to test them vary systematically across disciplines and fields, depending on the complexity of the subject matter and possibly other factors (e.g., a field's level of historical and/or intellectual development). On the other hand, these results support the scientific status of the social sciences against claims that they are completely subjective, by showing that, when they adopt a scientific approach to discovery, they differ from the natural sciences only by a matter of degree.
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              Scientific creativity as constrained stochastic behavior: the integration of product, person, and process perspectives.

              Psychologists have primarily investigated scientific creativity from 2 contrasting in vitro perspectives: correlational studies of the creative person and experimental studies of the creative process. Here the same phenomenon is scrutinized using a 3rd, in vivo perspective, namely, the actual creative products that emerge from individual scientific careers and communities of creative scientists. This behavioral analysis supports the inference that scientific creativity constitutes a form of constrained stochastic behavior. That is, it can be accurately modeled as a quasi-random combinatorial process. Key findings from both correlational and experimental research traditions corroborate this conclusion. The author closes the article by arguing that all 3 perspectives--regarding the product, person, and process--must be integrated into a unified view of scientific creativity.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2015
                19 March 2015
                : 10
                : 3
                : e0118747
                Affiliations
                [1 ]Professorship of Computational Social Science, ETH Zurich, Switzerland
                Université de Montréal, CANADA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SB MM DH. Performed the experiments: SB. Analyzed the data: SB MM. Contributed reagents/materials/analysis tools: SB MM. Wrote the paper: SB MM DH.

                Article
                PONE-D-14-38758
                10.1371/journal.pone.0118747
                4366147
                25790025
                b982796b-4c38-47ee-b9ae-666657c9ad58
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 28 August 2014
                : 22 January 2015
                Page count
                Figures: 13, Tables: 1, Pages: 26
                Funding
                The authors acknowledge support by the European Commission through the ERC Advanced Investigator Grant “Momentum” (Grant No. 324247). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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