How to Do Science with Models: A Philosophical Primer

Cham: Springer (2016)
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Abstract

Taking scientific practice as its starting point, this book charts the complex territory of models used in science. It examines what scientific models are and what their function is. Reliance on models is pervasive in science, and scientists often need to construct models in order to explain or predict anything of interest at all. The diversity of kinds of models one finds in science – ranging from toy models and scale models to theoretical and mathematical models – has attracted attention not only from scientists, but also from philosophers, sociologists, and historians of science. This has given rise to a wide variety of case studies that look at the different uses to which models have been put in specific scientific contexts. By exploring current debates on the use and building of models via cutting-edge examples drawn from physics and biology, the book provides broad insight into the methodology of modelling in the natural sciences. It pairs specific arguments with introductory material relating to the ontology and the function of models, and provides some historical context to the debates as well as a sketch of general positions in the philosophy of scientific models in the process.

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Axel Gelfert
Technische Universität Berlin

Citations of this work

Model Pluralism.Walter Veit - 2019 - Philosophy of the Social Sciences 50 (2):91-114.
Modeling Morality.Walter Veit - 2019 - In Matthieu Fontaine, Cristina Barés-Gómez, Francisco Salguero-Lamillar, Lorenzo Magnani & Ángel Nepomuceno-Fernández (eds.), Model-Based Reasoning in Science and Technology: Inferential Models for Logic, Language, Cognition and Computation. Springer Verlag. pp. 83–102.
Perspectival Modeling.Michela Massimi - 2018 - Philosophy of Science 85 (3):335-359.

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References found in this work

How scientific models can explain.Alisa Bokulich - 2011 - Synthese 180 (1):33 - 45.
Models and representation.Richard Hughes - 1997 - Philosophy of Science 64 (4):336.

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