Model-based science: diverse perspectives, little cross-disciplinary dialogue
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Modeling is integral to theoretical and experimental practice across the sciences. In virtually all disciplines, models and simulations help advance scientific understanding in many different ways, such as in illustrating and testing theoretical implications, in generating and analyzing experimental data, in evaluating novel methodological approaches and tools, and in providing analogues for the investigation of real-world phenomena. While model-based research is not new, it was only in the past few decades that modeling became an object of investigation in its own right: In addition to using models to understand the world, researchers in the natural and social sciences as well as in the humanities have recently begun paying closer attention to the very instruments and processes that make up model-based scientific research and model-based reasoning more generally. The Springer Handbook of Model-Based Science, edited by Lorenzo Magnani and Tommaso Bertolotti, presents a broad picture...
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