A computational approach to criminal justice reform
Abstract/Contents
- Abstract
- In recent years, activists and policymakers have become increasingly concerned about the use of data and algorithms in criminal justice settings, fearing that their use will reinforce demographic disparities and perpetuate punitive policies. This dissertation demonstrates how the careful application of such approaches also has the potential to reduce disparities and incarceration in a series of real-world applications. I begin by reviewing a collection of analytic techniques to identify unnecessary and discriminatory police stop practices. Next, I review two new prosecutor-oriented algorithms to aid the decision to charge or dismiss a case after an arrest has occurred. I subsequently review a group of algorithms and analyses intended to reduce the use of incarceration, including risk assessment instruments, pretrial behavioral nudges, and post-prison re-entry programs. I conclude the dissertation by discussing the larger context surrounding these approaches, including some risks and limitations. Overall, my dissertation demonstrates that computational approaches are a valuable tool to advance reform in the criminal justice system.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Chohlas-Wood, Alexander Edmund |
|---|---|
| Degree supervisor | Goel, Sharad, 1977- |
| Degree supervisor | Ugander, Johan |
| Thesis advisor | Goel, Sharad, 1977- |
| Thesis advisor | Ugander, Johan |
| Thesis advisor | Nyarko, Julian |
| Degree committee member | Nyarko, Julian |
| Associated with | Stanford University, Department of Management Science and Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Alexander Chohlas-Wood. |
|---|---|
| Note | Submitted to the Department of Management Science and Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/gx395ck3689 |
Access conditions
- Copyright
- © 2022 by Alexander Edmund Chohlas-Wood
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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