David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Perspectives on Science 13 (4):531-553 (2005)
: The main contribution of this paper to current philosophical and sociological studies on modeling is to analyze modeling as an object-oriented interdisciplinary activity and thus to bring new insights into the wide, heterogeneous discourse on tools, forms and organization of interdisciplinary research. A detailed analysis of interdisciplinarity in the making of models is presented, focusing on long-standing interdisciplinary collaboration between specialists in infectious diseases, mathematicians and computer scientists. The analysis introduces a novel way of studying the elements of the models as carriers of interdisciplinarity. These elements, being functionally interdependent building blocks, evolve during the modeling work and carry the disciplinary tensions in the process. This shows how the long and challenging process of defining and reformulating the object of research is crucial for understanding the dynamics of interdisciplinarity in the making
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Citations of this work BETA
Till Grüne-Yanoff & Uskali Mäki (2014). Introduction: Interdisciplinary Model Exchanges. Studies in History and Philosophy of Science Part A 48:52-59.
Jane Calvert (2012). Systems Biology, Synthetic Biology and Data-Driven Research: A Commentary on Krohs, Callebaut, and O'Malley and Soyer. Studies in History and Philosophy of Science Part C 43 (1):81-84.
Erika Mansnerus (2013). Modeling in the Social Sciences: Interdisciplinary Comparison. Perspectives on Science 21 (2):267-272.
Randy Harris (2009). Alan Gross and the Rhetoric of Science. Perspectives on Science 17 (3):pp. 346-380.
Jane Calvert (2012). Systems Biology, Synthetic Biology and Data-Driven Research: A Commentary on Krohs, Callebaut, and O’Malley and Soyer. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (1):81-84.
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