Authors
Carlo Martini
Tilburg University
Manuela Fernández Pinto
University of the Andes
Abstract
At least since Kuhn’s Structure, philosophers have studied the influence of social factors in science’s pursuit of truth and knowledge. More recently, formal models and computer simulations have allowed philosophers of science and social epistemologists to dig deeper into the detailed dynamics of scientific research and experimentation, and to develop very seemingly realistic models of the social organization of science. These models purport to be predictive of the optimal allocations of factors, such as diversity of methods used in science, size of groups, and communication channels among researchers. In this paper we argue that the current research faces an empirical challenge. The challenge is to connect simulation models with data. We present possible scenarios about how the challenge may unfold.
Keywords Social organization of science  Simulation models  Computer simulations  Empiricism  Social epistemology of science
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Reprint years 2017
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DOI 10.1007/s13194-016-0153-1
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References found in this work BETA

Essays in Positive Economics.Milton Friedman - 1953 - University of Chicago Press.
Science in the Age of Computer Simulation.Eric Winsberg - 2010 - University of Chicago Press.
The Division of Cognitive Labor.Philip Kitcher - 1990 - Journal of Philosophy 87 (1):5-22.

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Citations of this work BETA

Robustness and Idealizations in Agent-Based Models of Scientific Interaction.Daniel Frey & Dunja Šešelja - 2020 - British Journal for the Philosophy of Science 71 (4):1411-1437.
Evaluating Formal Models of Science.Michael Thicke - 2020 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 51 (2):315-335.

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