Simulating Science

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106,99 

Computer Simulations as Scientific Instruments, Synthese Library 479

ISBN: 3031386469
ISBN 13: 9783031386466
Autor: Alvarado, Ramón
Verlag: Springer Verlag GmbH
Umfang: viii, 164 S., 1 s/w Illustr., 164 p. 1 illus.
Erscheinungsdatum: 24.08.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

The first book in the last decade to cover the role and importance of scientific instruments in relation to contemporary scientific practiceThe only book dealing with computer simulations as scientific instruments and not as formal abstractions or broadly defined empirical practicesBrings insights from the history and philosophy of science, the philosophy of engineering, and the philosophy of technology to the much-debated issue of the role of computer simulations in science

Artikelnummer: 9920795 Kategorie:

Beschreibung

This book provides a philosophical framework to understand computer simulations as scientific instruments. This is in sharp contrast to existing philosophical approaches on the subject, which have historically understood computer simulations as either formal abstractions or as broadly construed empirical practices. In order to make its case, the volume contains a thorough examination of conventional philosophical approaches as well as their respective limitations. Yet, also, unlike other accounts of computer simulations from the perspective of the philosophy of science, this book incorporates insights from the philosophy of technology and the history of science. Hence, the book offers philosophers of science, technologists and other researchers interested in the topic, a thorough overview of the philosophical issues regarding the design, development and deployment of computer simulations in science and science-based policy making.

Autorenporträt

Ramón Alvarado is Assistant Professor of Philosophy at the University of Oregon. He researches the epistemic and ethical implications of the use of computational methods and technologies in science and society. He has published papers on the epistemic implications of data-driven technologies, such as artificial intelligence, in science as well as on the challenges of justifying our ubiquitous reliance on computer simulations for scientific inquiry. He also written about the challenges that opaque computational methods such as artificial intelligence, machine learning and big data pose to democratic processes.

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