Hostname: page-component-74656f9884-7drmj Total loading time: 0 Render date: 2026-11-05T04:20:56.030Z Has data issue: false hasContentIssue false

CSI (Courts, Science, and Information): How Judicial Opinions Cite Forensic Science and How It Impacts the Prosecution

Published online by Cambridge University Press:  28 September 2026

Tebah Browne
Affiliation:
Department of Forensic Science, Oklahoma State University , USA
Eve M. Ringsmuth
Affiliation:
Department of Political Science, Oklahoma State University , USA
Christine C. Bird*
Affiliation:
Department of Political Science, Oklahoma State University , USA
*
Corresponding author: Christine C. Bird; Email: christine.bird@okstate.edu
Rights & Permissions [Opens in a new window]

Abstract

In this article, we marshal an interdisciplinary approach to understanding how judges reference expert-produced scientific information from the forensic science field in their written opinions in criminal cases. We argue judges turn to this expert information to guide decision-making since they are not trained in forensic science, yet this information is often important in criminal cases. We find judges use authoritative language when referencing national forensic reports benefiting the defense but the relationship between references benefiting the prosecution and judges’ use of authoritative language is less straightforward. The findings provide insight into the way judges interact with expert information.

Information

Type
Special Issue Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of the Law and Courts Organized Section of the American Political Science Association
Figure 0

Table 1. Linear regression predicting authoritative language.Table 1. long description.

Supplementary material: File

Browne et al. supplementary material

Browne et al. supplementary material
Download Browne et al. supplementary material(File)
File 778.9 KB