Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgements -- Contributors -- Introduction: Scientific Models in the Philosophy of Science -- Part 1 Historical and General Perspectives -- 1 The Emergence of the Modelling Attitude -- 2 Theories and Models -- 3 Practice-oriented Approaches to Scientific Modeling -- Part 2 Philosophical Accounts of Modeling -- 4 Representation -- 5 Idealization -- 6 Deidealization -- 7 Models, Fiction, and the Imagination -- 8 The Artifactual Approach to Modeling -- 9 Target Systems -- 10 Minimal Models -- 11 Computer Simulations -- 12 Scientific Laws and Theoretical Models -- 13 The Puzzle of Model-based Explanation -- Part 3 Methodological Aspects: Model Construction, Evaluation and Calibration -- 14 Robustness Analysis -- 15 Model Evaluation -- 16 Mathematization -- 17 Epistemology and Pragmatism: The Debated Role of Models in Statistics -- 18 Models, Data Models, and Big Data -- 19 Models and Measurement -- 20 Model Transfer in Science -- Part 4 Related Topics -- 21 Models as Symbols -- 22 Scientific Understanding -- 23 Modalities in Modeling -- 24 Scientific Models and Thought Experiments -- 25 Models and Maps -- 26 Metaphors, Analogies, and Models -- 27 Narrative and Models -- 28 Models and Values -- 29 Interdisciplinarity through Modelling -- 30 The Learning of Modeling -- Part 5 Modeling in the Wild -- 31 Statistical Mechanical Models of Finance -- 32 Climate Models -- 33 Epistemic Implications of Machine Learning Models in Science -- 34 In vitro Analogies: Simulation Modeling in Biomedical Engineering Sciences -- 35 Synthetic Models in Biology -- 36 Modelling the Deep Past -- 37 Models and Measurement of Inequality -- 38 Formal Language Theory and its Interdisciplinary Applications -- 39 How Network Models Contribute to Science.

40 Models of the Nerve Impulse -- Index.