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When one model is not enough: Combining epistemic tools in systems biology

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When one model is not enough: Combining epistemic tools in systems biology. / Green, Sara.

In: Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, Vol. 44, No. 2, 2013, p. 170-180.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Green, S 2013, 'When one model is not enough: Combining epistemic tools in systems biology', Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, vol. 44, no. 2, pp. 170-180. https://doi.org/10.1016/j.shpsc.2013.03.012

APA

Green, S. (2013). When one model is not enough: Combining epistemic tools in systems biology. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 44(2), 170-180. https://doi.org/10.1016/j.shpsc.2013.03.012

CBE

Green S. 2013. When one model is not enough: Combining epistemic tools in systems biology. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences. 44(2):170-180. https://doi.org/10.1016/j.shpsc.2013.03.012

MLA

Green, Sara. "When one model is not enough: Combining epistemic tools in systems biology". Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences. 2013, 44(2). 170-180. https://doi.org/10.1016/j.shpsc.2013.03.012

Vancouver

Green S. When one model is not enough: Combining epistemic tools in systems biology. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences. 2013;44(2):170-180. https://doi.org/10.1016/j.shpsc.2013.03.012

Author

Green, Sara. / When one model is not enough: Combining epistemic tools in systems biology. In: Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences. 2013 ; Vol. 44, No. 2. pp. 170-180.

Bibtex

@article{df3d987153c64f958949d6f547bd3548,
title = "When one model is not enough: Combining epistemic tools in systems biology",
abstract = "In recent years, the philosophical focus of the modeling literature has shifted from descriptions of general properties of models to an interest in different model functions. It has been argued that the diversity of models and their correspondingly different epistemic goals are important for developing intelligible scientific theories (Leonelli, 2007; Levins, 2006). However, more knowledge is needed on how a combination of different epistemic means can generate and stabilize new entities in science. This paper will draw on Rheinberger{\textquoteright}s practice-oriented account of knowledge production. The conceptual repertoire of Rheinberger{\textquoteright}s historical epistemology offers important insights for an analysis of the modelling practice. I illustrate this with a case study on network modeling in systems biology where engineering approaches are applied to the study of biological systems. I shall argue that the use of multiple representationalmeans is an essential part of the dynamic of knowledge generation. It is because of—rather than in spite of—the diversity of constraints of different models that the interlocking use of different epistemic means creates a potential for knowledge production.",
author = "Sara Green",
year = "2013",
doi = "10.1016/j.shpsc.2013.03.012",
language = "English",
volume = "44",
pages = "170--180",
journal = "Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences",
issn = "1369-8486",
publisher = "Pergamon Press",
number = "2",

}

RIS

TY - JOUR

T1 - When one model is not enough: Combining epistemic tools in systems biology

AU - Green, Sara

PY - 2013

Y1 - 2013

N2 - In recent years, the philosophical focus of the modeling literature has shifted from descriptions of general properties of models to an interest in different model functions. It has been argued that the diversity of models and their correspondingly different epistemic goals are important for developing intelligible scientific theories (Leonelli, 2007; Levins, 2006). However, more knowledge is needed on how a combination of different epistemic means can generate and stabilize new entities in science. This paper will draw on Rheinberger’s practice-oriented account of knowledge production. The conceptual repertoire of Rheinberger’s historical epistemology offers important insights for an analysis of the modelling practice. I illustrate this with a case study on network modeling in systems biology where engineering approaches are applied to the study of biological systems. I shall argue that the use of multiple representationalmeans is an essential part of the dynamic of knowledge generation. It is because of—rather than in spite of—the diversity of constraints of different models that the interlocking use of different epistemic means creates a potential for knowledge production.

AB - In recent years, the philosophical focus of the modeling literature has shifted from descriptions of general properties of models to an interest in different model functions. It has been argued that the diversity of models and their correspondingly different epistemic goals are important for developing intelligible scientific theories (Leonelli, 2007; Levins, 2006). However, more knowledge is needed on how a combination of different epistemic means can generate and stabilize new entities in science. This paper will draw on Rheinberger’s practice-oriented account of knowledge production. The conceptual repertoire of Rheinberger’s historical epistemology offers important insights for an analysis of the modelling practice. I illustrate this with a case study on network modeling in systems biology where engineering approaches are applied to the study of biological systems. I shall argue that the use of multiple representationalmeans is an essential part of the dynamic of knowledge generation. It is because of—rather than in spite of—the diversity of constraints of different models that the interlocking use of different epistemic means creates a potential for knowledge production.

U2 - 10.1016/j.shpsc.2013.03.012

DO - 10.1016/j.shpsc.2013.03.012

M3 - Journal article

C2 - 23578487

VL - 44

SP - 170

EP - 180

JO - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences

JF - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences

SN - 1369-8486

IS - 2

ER -