1 of 6

Criminal Justice Reform

By Meenakshi Iyer, Ruba Thekkath, and Maya Nordin

2 of 6

Our Story

Our idea was inspired from The Three Strikes Project conducted by Stanford. We felt compelled to delve deeper into the intricate web of data surrounding criminal justice reform. Recognizing the vast challenges faced by legal practitioners in navigating the complex landscape of California's prisons, we identified a pressing need for more efficient and accurate methods of identifying eligible candidates for Prosecutor Initiated Resentencing (PIR). As aspiring Data Scientists and Analysts, our curiosity propelled us to explore deeper into the data on the population currently incarcerated in the California Department of Corrections and Rehabilitation (CDCR) as of December 2023. It was independently obtained through a California Public Records Act (CPRA) request. This data collection was separate from any work conducted by the Three Strikes Project and Stanford University.

​

​

​

3 of 6

Our Goal

01

Identify any racially motivated biases that exist in the arrests made using one-way ANOVA testing and data visualization

4 of 6

Our Dataset

Ethnicity

Sentence Type

Controlling Case Sentencing County

Aggregate Sentence in Months

Ethnicity of person arrested

Life with Parole, Life w/o Parole, Second Striker, etc

Location of crime

Length of sentence

5 of 6

Technologies

Building the website

HTML/CSS

Data visualization

Tableau

Building the website

Javascript

Statistical analysis

R Studio

6 of 6

Thank you!