The Routledge Handbook of Philosophy of Scientific Modeling

Tarja Knuuttila is a Professor of Philosophy of Science at the University of Vienna, Austria. She has developed an artifactual account of models. Knuuttila focuses in her research on scientific modeling, interdisciplinarity, and the modal dimension of science with a special focus on synthetic biology, engineering sciences, and economics. Natalia Carrillo is an Associate Researcher at the Institute of Philosophical Research at the National Autonomous University of Mexico (UNAM). She is interested in philosophical problems at the intersection of philosophy of science and technology, especially artifactuality and abstraction in modeling practices, and the role of analogies and metaphors in science. Rami Koskinen is a Researcher at the University of Vienna, Austria, with an interest in the general philosophy of science, philosophy of biology, and epistemology. He has been investigating modal reasoning in the sciences, modeling in synthetic biology, and the question of multiple realizability.

Introduction Tarja Knuuttila, Natalia Carrillo, and Rami Koskinen Part 1: Historical and General Perspectives 1. The Emergence of the Modelling Attitude Mauricio Suárez 2. Theories and Models Roman Frigg 3. Practice-Oriented Approaches to Scientific Modeling Axel Gelfert Part 2: Philosophical Accounts of Modeling 4. Representation Julia Sánchez-Dorado 5. Idealization Collin Rice 6. De-Idealization Alejandro Cassini 7. Models, Fiction, and the Imagination Arnon Levy 8. The Artifactual Account of Modeling Tarja Knuuttila 9. Target Systems Francesca Pero 10. Minimal Models Chris Pincock 11. Computer Simulation Juan M. Durán 12. Scientific Laws and Theoretical Models Krzysztof Nowak-Posadzy and Jarosław Boruszewski 13. The Puzzle of Model-Based Explanation N. Emrah Aydinonat Part 3: Methodological Aspects: Model Construction, Evaluation and Calibration 14. Robustness Analysis Dunja Šešelja, Wybo Houkes, and Krist Vaesen 15. Model Evaluation Wendy S. Parker 16. Mathematization Marcel Boumans 17. The Debated Role of Models in Statistics Johannes Lenhard 18. Models, Data Models and Big Data Leticia Castillo Brache and Alisa Bokulich 19. Models and Measurement Eran Tal 20. Model Transfer Catherine Herfeld Part 4: Related Topics 21. Exemplification and Representation-as Catherine Z. Elgin 22. Scientific Understanding Insa Lawler 23. Modalities in Modeling Ylwa Sjölin Wirling and Till Grüne-Yanoff 24. Scientific Models and Thought Experiments Rawad el Skaf and Michael T. Stuart 25. Models and Maps Rasmus Grønfeldt Winther 26. Metaphors and Analogies Sergio Martínez 27. Narratives Mary S. Morgan 28. Models and Values Kristina Rolin 29. Interdisciplinarity through Modelling Mieke Boon 30. The Learning of Modeling K.K. Mashood and Sanjay Chandrasekharan Part 5: Modeling in the Wild 31. Statistical Mechanical Models of Finance Patricia Palacios and Jennifer S. Jhun 32. Climate Models Ilkka Pättiniemi and Rami Koskinen 33. Epistemic Implications of Machine Learning Models in Science Juan M. Durán Stefan Buijsman 34. In Vitro Analogies: Simulation Modeling in Biomedical Engineering Sciences Nancy J. Nersessian 35. Synthetic Models in Biology Andrea Loettgers and Tarja Knuuttila 36. Modeling the Deep Past Adrian Currie 37. Models and Measurement of Inequality Chiara Lisciandra and Alessandra Basso 38. Formal Language Theory and Its Interdisciplinary Applications Chia-Hua Lin 39. How Network Models Contribute to Science Charles Rathkopf 40. Models of the Nerve Impulse Natalia Carrillo. Index