Dissertations, Theses, and Capstone Projects
Date of Degree
2-2024
Document Type
Capstone Project
Degree Name
M.S.
Program
Data Analysis & Visualization
Advisor
Ellie Frymire
Subject Categories
Categorical Data Analysis | Criminology and Criminal Justice | Data Science | Law Enforcement and Corrections | Statistical Models
Keywords
Parole Reform, DOCCS, Elder Parole, Fair and Timely Parole
Abstract
For many individuals incarcerated in New York, the initial step toward freedom begins with an interview with the Board of Parole. This process, however, is frequently a complex and challenging one, characterized by repeated denials and extended incarcerations. The disparity in outcomes – where one individual may receive over 20 denials and another is granted parole on their first attempt – highlights the ambiguity and inconsistency in the parole decision-making process. This project aims to clarify the factors that influence parole decisions by concentrating on measurable variables. These include age, race, duration of sentence served, proportion of sentence served, type of interview, and the county of commitment.
By examining publicly available data from September 2021 to September 2023 on individuals who have undergone parole interviews, the project seeks to understand how these measurable factors might predict parole outcomes. In doing so, it aspires to provide a clearer and more objective view of a parole system that, too often, seems governed by variables that are difficult to quantify or predict.
Recommended Citation
McGlinchy, Alexandra, "Making Sense of Making Parole in New York" (2024). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/5698
Archived website as a WARC file, created using Conifer – web archive player available at https://replayweb.page/
2yrs_interviews-main.zip (2208 kB)
Export of GitHub repo at time of deposit.
Included in
Categorical Data Analysis Commons, Criminology and Criminal Justice Commons, Data Science Commons, Law Enforcement and Corrections Commons, Statistical Models Commons
Comments
Online component: https://amcglinchy.github.io/2yrs_interviews/