1st Edition
The Routledge Handbook of Philosophy of Scientific Modeling
Models and modeling have played an increasingly important role in philosophy, going back to the nineteenth century. While philosophical interest in models has been remarkably lively over the last two decades, there are still many underexplored questions. The Routledge Handbook of Philosophy of Scientific Modeling is an outstanding reference source and guide to this fast-growing area and is the first volume of its kind. Comprised of 40 specially commissioned chapters by an international team of contributors, the Handbook is organized into five clear parts:
- Historical and General Perspectives
- Philosophical Accounts of Modeling
- Methodological Aspects: Model Construction, Evaluation, and Calibration
- Related Topics
- Modeling in the Wild.
Within these parts, the Handbook covers a diverse range of topics, including historical perspectives on modeling, the relationship between models, theories, representation, idealization, and understanding, and related topics like big data, simulation, and statistical and computational modeling. Different kinds of models are discussed, for example, network models, financial models, and climate and synthetic models.
The Routledge Handbook of Philosophy of Scientific Modeling is essential reading for students and scholars of philosophy of science, formal epistemology, and philosophy of social sciences. It is also a valuable resource for those in related fields such as computer science and information technology.
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
Biography
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.
