scenarios
Analysis of resentencing eligibility results using Redo.io's open prison population datasets
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (10.3%) to scientific vocabulary
Keywords
Repository
Analysis of resentencing eligibility results using Redo.io's open prison population datasets
Basic Info
Statistics
- Stars: 4
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Data
Data on the population currently incarcerated in the California Department of Corrections and Rehabilitation (CDCR) as of December 2023 acquired via the California Public Records Act (CPRA). CDCR applied several privacy (health information, age, etc.) related exclusionary criteria to release the data. Some CDCR identification numbers are hashed for de-identification as a result.
Note: Data and analyses in this repository are fully independent of the Three Strikes Project, Stanford University and the Resentencing Data Initiative. This is an exploratory effort not supported or related to any of the aforementioned parties.
Demo
We demonstrate a full execution of the resentencing eligibility model (https://github.com/redoio/resentencingdatainitiative/) on the CDCR population data described above. We establish a set of eligibility rules, classify offenses based on their nature and severity, and then create a scenario in which we identify the best candidates for resentencing.
Output
This cohort simply meets the sample eligibility criteria. There is no certainty that these individuals are falsely incarcerated or harshly sentenced. Such determinations require complex case reviews by attorneys.
The selection process does not account for age-related criteria since CDCR denied sharing individual birthdays. Age is a pertinent factor, however, in PIR eligibility in some counties. The Los Angeles County District Attorney's Office, for example, reviews adult cases (over the age of 50) differently from juvenile cases (sentenced at age 14 or 15) (https://github.com/redoio/resentencingdatainitiative/eligibilitymodel/code/offenseclassification/county/los_angeles)
Citation
If you make use of our dataset(s), please cite our work as follows:
"Redo.io. cdcr-scenarios (Version 1.0.0) [Dataset]. https://github.com/redoio/scenarios"
License
This cdcr-prison-pop repository is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/ by Redo.io. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
Contact
Contact aparna.komarla@gmail.com for any questions
Owner
- Name: Redo.io
- Login: redoio
- Kind: organization
- Location: United States of America
- Repositories: 1
- Profile: https://github.com/redoio
A data science for social good non-profit developing open-source tools and applications for the California criminal justice system
Citation (citation.cff)
cff-version: 1.2.0 message: "If you use this dataset, please cite it as below." authors: - name: "Redo.io" title: "cdcr-prison-pop" version: 1.0.0 type: data url: "https://github.com/redoio/prison_pop" keywords: - california - population demographics - public records request - criminal justice reform - public data - open data
GitHub Events
Total
- Push event: 1
Last Year
- Push event: 1