Three data-driven model-based policy analyses in criminology
Abstract/Contents
- Abstract
- In the field of criminology, improving efficiency can mean saving real human lives. However, there still exist many ineffective operations in the field. Aiming to answer operations questions in criminology in a more rigorously quantitative way, we analyze three problems in criminology using data-driven model-based methods: one about improving operations for ballistics imaging and identification, one about how to deal with the backlog of untested sexual assault kits in the U.S. and another for understanding the effect of changes in judicial rotation policies.
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 | 2019; ©2019 |
| Publication date | 2019; 2019 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Wang, Can |
|---|---|
| Degree supervisor | Wein, Lawrence |
| Thesis advisor | Wein, Lawrence |
| Thesis advisor | Bambos, Nicholas |
| Thesis advisor | Prabhakar, Balaji, 1967- |
| Degree committee member | Bambos, Nicholas |
| Degree committee member | Prabhakar, Balaji, 1967- |
| Associated with | Stanford University, Department of Electrical Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Can Wang. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2019. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Can Wang
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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