The Computational Justice Lab is associated with Claremont Graduate University. It aims to synthesize elite faculty and students with practitioners to identify causal insights regarding pressing criminal justice issues and policies. The lab successfully integrates faculty members and researchers across the Claremont consortium and other top-tier research universities to address the data gaps related to criminal justice issues.
According to Gregory DeAngelo, director of the lab, the CJL works with the Center for the Economic Analysis of Risk, Center for Growth and Opportunity, Center for Justice Research, and the Institute for Justice Research and Development to host workshops for prosecutors and researchers.
According to Gregory DeAngelo, director of the lab, the CJL works with the Center for the Economic Analysis of Risk, Center for Growth and Opportunity, Center for Justice Research, and the Institute for Justice Research and Development to host workshops for prosecutors and researchers.
Some workshop topics include:
- The relationship between bail decisions and prior criminal behavior
- Pre-screening for individuals admitted into diversionary programs
- The pressures on and promises of elected positions to change existing practices
- Plea bargaining through the lens of the Courtroom Workgroup
- The role of collaborative courts in reducing recidivism
- The response of local-level criminal justice actors to imposed higher-level policies
Some workshop topics include:
- The relationship between bail decisions and prior criminal behavior
- Pre-screening for individuals admitted into diversionary programs
- The pressures on and promises of elected positions to change existing practices
- Plea bargaining through the lens of the Courtroom Workgroup
- The role of collaborative courts in reducing recidivism
- The response of local-level criminal justice actors to imposed higher-level policies
The aim is to integrate the computer and social sciences to examine issues relating to the criminal justice system. For instance, the team has currently worked to identify the long-term impact of pre-trial jail detention for the defendant, potential racial disparities in prosecutor decisions, the effect of police response times on public safety, and numerous other issues. It is a data science-driven technique that educates from large corpuses of text and body camera footage.
An important aspect of all this research involves the integration of lab faculty and students with the agencies for whom we are evaluating. Through these engagements, our students can learn the inner workings of public sector agencies, including law enforcement agencies, district attorney’s offices, public defender’s offices, etc. These unique relationships enable our students to learn important institutional details about each agency, the way data are collected, the processes within the agency, and other information that is pertinent for the development of high-quality research that both advances the knowledge produced by the academic community but also addresses specific questions for the partnering agency, possibly influencing their internal policies.
The aim is to integrate the computer and social sciences to examine issues relating to the criminal justice system. For instance, the team has currently worked to identify the long-term impact of pre-trial jail detention for the defendant, potential racial disparities in prosecutor decisions, the effect of police response times on public safety, and numerous other issues. It is a data science-driven technique that educates from large corpuses of text and body camera footage.
An important aspect of all this research involves the integration of lab faculty and students with the agencies for whom we are evaluating. Through these engagements, our students can learn the inner workings of public sector agencies, including law enforcement agencies, district attorney’s offices, public defender’s offices, etc. These unique relationships enable our students to learn important institutional details about each agency, the way data are collected, the processes within the agency, and other information that is pertinent for the development of high-quality research that both advances the knowledge produced by the academic community but also addresses specific questions for the partnering agency, possibly influencing their internal policies.
