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  1. How research programs come apart: The example of supersymmetry and the disunity of physics.Lucas Gautheron & Elisa Omodei - 2023 - Quantitative Science Studies 4 (3):671–699.
    According to Peter Galison, the coordination of different “subcultures” within a scientific field happens through local exchanges within “trading zones.” In his view, the workability of such trading zones is not guaranteed, and science is not necessarily driven towards further integration. In this paper, we develop and apply quantitative methods (using semantic, authorship, and citation data from scientific literature), inspired by Galison’s framework, to the case of the disunity of high-energy physics. We give prominence to supersymmetry, a concept that has (...)
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  • Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library.Jaimie Murdock, Colin Allen, Katy Börner, Robert Light, Simon McAlister, Andrew Ravenscroft, Robert Rose, Doori Rose, Jun Otsuka, David Bourget, John Lawrence & Chris Reed - 2017 - PLoS ONE 12 (9).
    We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We provide a case study for the application of the methods to (...)
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  • Exploration and exploitation of Victorian science in Darwin’s reading notebooks.Jaimie Murdock, Colin Allen & Simon DeDeo - 2017 - Cognition 159 (C):117-126.
    Search in an environment with an uncertain distribution of resources involves a trade-off between exploitation of past discoveries and further exploration. This extends to information foraging, where a knowledge-seeker shifts between reading in depth and studying new domains. To study this decision-making process, we examine the reading choices made by one of the most celebrated scientists of the modern era: Charles Darwin. From the full-text of books listed in his chronologically-organized reading journals, we generate topic models to quantify his local (...)
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  • Analyzing the history of Cognition using Topic Models.Uriel Cohen Priva & Joseph L. Austerweil - 2015 - Cognition 135:4-9.
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  • Psychology in Cognitive Science: 1978–2038.Dedre Gentner - 2010 - Topics in Cognitive Science 2 (3):328-344.
    This paper considers the past and future of Psychology within Cognitive Science. In the history section, I focus on three questions: (a) how has the position of Psychology evolved within Cognitive Science, relative to the other disciplines that make up Cognitive Science; (b) how have particular Cognitive Science areas within Psychology waxed or waned; and (c) what have we gained and lost. After discussing what’s happened since the late 1970s, when the Society and the journal began, I speculate about where (...)
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  • Information-driven network analysis: evolving the “complex networks” paradigm.Remo Pareschi & Francesca Arcelli Fontana - 2016 - Mind and Society 15 (2):155-167.
    Network analysis views complex systems as networks with well-defined structural properties that account for their complexity. These characteristics, which include scale-free behavior, small worlds and communities, are not to be found in networks such as random graphs and lattices that do not correspond to complex systems. They provide therefore a robust ground for claiming the existence of “complex networks” as a non-trivial subset of networks. The theory of complex networks has thus been successful in making systematically explicit relevant marks of (...)
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  • New proposals for organization of knowledge and their role in the development of databases for history of science.Ana M. Alfonso-Goldfarb, Silvia Waisse & Marica Helena Mendes Ferraz - 2018 - Circumscribere: International Journal for the History of Science 21:1-12.
    As is known, the digital era brought new possibilities for creation, organization and work with large databases. However, some problems make such large databases difficult to manage, as e.g., lack of definite standards, or perhaps even full impossibility to develop any standard at all due to the complexity of the data. This certainly is the case of databases in the humanities, especially in regard to fields in which the aspect of temporality is constitutive. In this paper we discuss models for (...)
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