Hostname: page-component-5b777bbd6c-sbgtn Total loading time: 0 Render date: 2025-06-19T23:05:50.486Z Has data issue: false hasContentIssue false
  • English
  • Français

Review of Ann Johnson and Johannes Lenhard’s Cultures of Prediction: How Engineering and Science Evolve with Mathematical Tools - Ann Johnsonand Johannes Lenhard , Cultures of Prediction: How Engineering and Science Evolve with Mathematical Tools. Cambridge, MA: MIT Press (2024), 274 pp. $45.00 (paperback).

Review products

Ann Johnsonand Johannes Lenhard , Cultures of Prediction: How Engineering and Science Evolve with Mathematical Tools. Cambridge, MA: MIT Press (2024), 274 pp. $45.00 (paperback).

Published online by Cambridge University Press:  26 November 2024

Brandon Boesch Open the ORCID record for Brandon Boesch [Opens in a new window]
Brandon Boesch*
Affiliation:
Associate Professor of Philosophy, Morningside University
*
Email: boeschb@gmail.com
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Book Review
Information
Philosophy of Science , First View , pp. 1 - 4
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of the Philosophy of Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Boesch, Brandon. 2022. “A Concrete Example of Representational Licensing: The Mississippi River Basin Model.” Studies in History and Philosophy of Science 92(April):36–44. https://doi.org/10.1016/j.shpsa.2022.01.002.CrossRefGoogle ScholarPubMed
Humphreys, Paul. 2004. Extending Ourselves: Computational Science, Empiricism, and Scientific Method. New York: Oxford University Press.CrossRefGoogle Scholar