Description
Book SynopsisAn innovative, multifaceted approach to scientific experiments as designed by and shaped through interaction with the modeling process
The role of scientific modeling in mediation between theories and phenomena is a critical topic within the philosophy of science, touching on issues from climate modeling to synthetic models in biology, high energy particle physics, and cognitive sciences. Offering a radically new conception of the role of data in the scientific modeling process as well as a new awareness of the problematic aspects of data, this cutting-edge volume offers a multifaceted view on experiments as designed and shaped in interaction with the modeling process.
Contributors address such issues as the construction of models in conjunction with scientific experimentation; the status of measurement and the function of experiment in the identification of relevant parameters; how the phenomena under study are reconceived when accounted for by a model; and the interplay between experimenting, modeling, and simulation when results do not mesh. Highlighting the mediating role of models and the model-dependence (as well as theory-dependence) of data measurement, this volume proposes a normative and conceptual innovation in scientific modeling—that the phenomena to be investigated and modeled must not be precisely identified at the start but specified during the course of the interactions arising between experimental and modeling activities.
Contributors: Nancy D. Cartwright, U of California, San Diego; Anthony Chemero, U of Cincinnati; Ronald N. Giere, U of Minnesota; Jenann Ismael, U of Arizona; Tarja Knuuttila, U of South Carolina; Andrea Loettgers, U of Bern, Switzerland; Deborah Mayo, Virginia Tech; Joseph Rouse, Wesleyan U; Paul Teller, U of California, Davis; Michael Weisberg, U of Pennsylvania; Eric Winsberg, U of South Florida.
Trade Review"Throughout, the various essays help provide substance to a bold new account of models: far from being mere representations in need of experimental validation, scientific models both shape and are shaped by experiment and data measurement."—CHOICE
"A snapshot of the kinds of questions philosophers of science have begun asking since the philosophical shift from theories to practices."—Journal for General Philosophy of Science
Table of ContentsPreface and Acknowledgments
Introduction
Isabelle Peschard and Bas C. van Fraassen
1. Models of Experiments
Ronald N. Giere
2. Dynamics, Data, and Noise in the Cognitive Sciences
Anthony Chemero
3. Articulating the World: Experimental Practice and Conceptual Understanding
Joseph Rouse
4. Modeling/Experimentation: The Synthetic Strategy in the Study of Genetic Circuits
Tarja Knuuttila and Andrea Loettgers
5. Will Your Policy Work? Experiments versus Models
Nancy D. Cartwright
6. Causal Content and Global Laws: Grounding Modality in Experimental Practice
Jenann Ismael
7. Experimental Flukes and Statistical Modeling in the Higgs Discovery
Deborah Mayo
8. Values and Evidence in Model-Based Climate Forecasting
Eric Winsberg
9. Validating Idealized Models
Michael Weisberg
Symposium on Measurement
10. Introduction: The Changing Debates over Measurement
Bas C. van Fraassen
11. Measurement Accuracy Realism
Paul Teller
12. Let’s Take the Metaphysical Bull by the Horns
Bas C. van Fraassen
13. Taking the Metaphysical Bull by the Horns: Completing the Job
Paul Teller
Contributors
Index
