UROP Research Mentor Project Submission Portal: Submission #1256
Submission information
              Submission Number: 1256
  Submission ID: 20876
  Submission UUID: fe9bbd30-fa1d-4c29-8c26-56ebee644828
      Submission URI: /urop-research-mentor-project-submission-portal
          Submission Update: /urop-research-mentor-project-submission-portal?token=0xvN6ia7UupT76HX7VAO_vD27DDDPJLe8LJs1TaKJRk
      Created: Mon, 08/18/2025 - 03:49 PM
  Completed: Mon, 08/18/2025 - 03:59 PM
  Changed: Fri, 09/19/2025 - 12:06 PM
  Remote IP address: 146.201.26.208
  Submitted by: Anonymous
  Language: English
  Is draft: No
    Webform: UROP Project Proposal Portal
      Submitted to: UROP Research Mentor Project Submission Portal
    
          Research Mentor Information
      
  
  
  Veronica White
  
  
  
  
      
  
  
  Dr.
  
  
  
  
      
  
  
  vwhite@eng.famu.fsu.edu
  
  
  
  
  
      
  
  
  Faculty
  
  
  
  
      
  
  
  FAMU-FSU College of Engineering
  
  
  
  
      
  
  
  FAMU-FSU College of Engineering
  
  
  
  
  
  
  Additional Research Mentor(s)
Overall Project Details
      
  
  
  ***Neighborhood Defender Service Modeling and Analysis
  
  
  
  
      
  
  
  Data Analysis, Court System, System modeling
  
  
  
  
      
  
  
  Yes
  
  
  
  
      
  
  
  1
  
  
  
  
      
  
  
  Open to all majors, with preference given to engineering, criminology/criminal justice, public health, social work, and related majors.
  
  
  
  
      
  
  
  Engineering Building B, option to work remotely or in-person
  
  
  
  
      
  
  
  Venom or FSU bus system to engineering campus
  
  
  
  
      
  
  
  Fully Remote
  
  
  
  
      
  
  
  7-10
  
  
  
  
      
  
  
  Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
  
  
  
  
      
  
  
  This project may go one of two ways:
(1) Neighborhood Defender Service (NDS) is currently collecting data via a court observation study in Jackson, Mississippi to better understand differences in the city's two municipal courts. One court was the city’s original municipal court, and the other one is less than a year old, located in a more affluent area of the city. Municipal courts handle a wide range of hearings, from traffic tickets to misdemeanors to felonies. This is where the average citizen is most likely to come into contact with the criminal legal system. The original municipal court has relied largely on paper-based recordkeeping, which raises challenges for data analysis. The new municipal court has adopted electronic recordkeeping. NDS is working to compile comparable data for both courts. Because this effort involves significant person-hours to manually enter data from court dockets and to gather information from in-person court monitoring, NDS is seeking assistance from Pro Bono Analytics (PBA) to (1) review their processes, (2) provide guidance on streamlining and data management, and (3) make recommendations on metric development to appropriately answer questions for a comparative analysis of the two courts. NDS has a larger goal that their developed dataset will help reveal trends in legal representation, courtroom practices, defendant demographics, social service needs, and so on.
(2) Formalize the Neighborhood Defender Service holistic model as a system. Literature review of looking at other similar models and key mertics needed analyze the models success
  (1) Neighborhood Defender Service (NDS) is currently collecting data via a court observation study in Jackson, Mississippi to better understand differences in the city's two municipal courts. One court was the city’s original municipal court, and the other one is less than a year old, located in a more affluent area of the city. Municipal courts handle a wide range of hearings, from traffic tickets to misdemeanors to felonies. This is where the average citizen is most likely to come into contact with the criminal legal system. The original municipal court has relied largely on paper-based recordkeeping, which raises challenges for data analysis. The new municipal court has adopted electronic recordkeeping. NDS is working to compile comparable data for both courts. Because this effort involves significant person-hours to manually enter data from court dockets and to gather information from in-person court monitoring, NDS is seeking assistance from Pro Bono Analytics (PBA) to (1) review their processes, (2) provide guidance on streamlining and data management, and (3) make recommendations on metric development to appropriately answer questions for a comparative analysis of the two courts. NDS has a larger goal that their developed dataset will help reveal trends in legal representation, courtroom practices, defendant demographics, social service needs, and so on.
(2) Formalize the Neighborhood Defender Service holistic model as a system. Literature review of looking at other similar models and key mertics needed analyze the models success
      
  
  
  data collection, literature review, data analysis, academic writing
  
  
  
  
      
  
  
  Excel (recommended)
data analysis (recommend)
academic writing (recommended)
Data management (recommended)
Metric development with categorical inputs and outputs (reccomended)
Experience with the U.S. legal system (reccomended)
  data analysis (recommend)
academic writing (recommended)
Data management (recommended)
Metric development with categorical inputs and outputs (reccomended)
Experience with the U.S. legal system (reccomended)
      
  
  
  It is my goal as a faculty member to be a mentor to students from a variety of backgrounds and programs. I promise to provide a safe environment built on mutual respect and understanding, hold you accountable to the goals you set, and provide guidance on what research and meaningful research deliverables are. I aim to build relationships with my students that make them feel supported and valued. I expect you to do your best and communicate quickly when personal and research-related issues arise, especially when they impact your work and progress. I look forward to working with you, learning about what motivates you, and working together to achieve our goals. 
  
  
  
  
      
  
  
  https://neighborhooddefender.org/
  
  
  
  
      
  
  
  {Empty}
  
  
  
          
      
  
  
  Yes
  
  
  
  
      
  
  
  https://fsu.zoom.us/j/95629400981 Tuesday and thursday 12pm to 5pm
  
  
  
  - Day: Thursday, September 4
Start Time: 12:30
End Time: 1:00
Zoom Link: https://fsu.zoom.us/j/95629400981 
UROP Program Elements
      
  
  
  Yes
  
  
  
  
      
  
  
  Yes
  
  
  
  
      
  
  
  Yes
  
  
  
  
      
  
  
  Yes
  
  
  
          
  
  
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  2025
  
  
  
  
      
  
  
  https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=0xvN6ia7UupT76HX7VAO_vD27DDDPJLe8LJs1TaKJRk