Celebrating Black History Month 2026: A Living Archive of Thought, Culture, and Possibility
Apply

Research Assistant - Exploring Officer Patrol Behaviors Using Automated Vehicle Locator Data

The SGA will work on collecting, cleaning, and triangulating automated vehicle locator, crime, and calls for service data. The SGA will create databases for the study and assist in the statistical analysis.

  • Location:

    Boston

  • Semester:

    Summer 2026

Application

Doctoral Program
Current year in program
Doctoral Program Status
Accepted file types: pdf, Max. file size: 250 MB.
Attach a PDF of your resume here
This field is hidden when viewing the form
This field is hidden when viewing the form

  • Project Title

    Exploring Officer Patrol Behaviors Using Automated Vehicle Locator Data

  • Faculty / Project Lead

    Eric Piza

  • Project Description

    This project is a mixed-methods research project that leverages automated vehicle locator (AVL) data to analyze police patrol activity and police-citizen interactions in Kansas City, MO. We will first operationalize daily patrol officer travel patterns from AVL data, specifically focusing on committed vs. uncommitted time, proactive vs. reactive deployment, driving speed, single vs. multiple-vehicle responses, and stationary vs. in-motion presence. Data from the AVL will further be triangulated with a wide range of KCPD and public data sources to identify contextual factors that are significantly related to a range of police patrol behaviors and response outcomes.

  • Qualifications Necessary

    Proficiency in ArcGIS Pro, Stata, R, and python.

  • Hours per Week

    10 Hour Position