• DocumentCode
    710784
  • Title

    Criminal justice system data analysis and visualization

  • Author

    Riley, Maura ; Harelson, Daniel ; Monte, Michael ; Chong, Michael ; O´Hern, Meghan ; Smith, Michael ; White, K. Preston

  • Author_Institution
    Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2015
  • fDate
    24-24 April 2015
  • Firstpage
    295
  • Lastpage
    299
  • Abstract
    The criminal justice system in Charlottesville/Albemarle, VA, is a national leader in promoting Evidence Based Decision Making (EBDM)-relying on data to support decisions and evaluate policies and practices rather than on anecdotes or judgment alone. To implement EBDM more effectively, local criminal justice authorities-police, jail, pre- and post-trial services, and courts-are working together to use and share data across legacy systems better. One important facet of this effort is to design improved methods for data visualization, analysis, and interpretation. In this effort, we demonstrate how data and analytics are used to assess how well criminal justice system objectives are met and how analysis results can be presented using an advanced data visualization tool. The visualizations displayed using Tableau® contain charts, graphs, and dashboards, that allow an analyst to evaluate EBDM performance measures. These reports were developed using historical data to illustrate how an integrated database can be used to produce reports once the database is implemented. With this in mind, reports are general while envisioning what the new database structure will be. Decision makers within the Charlottesville system now have dashboards that they can use to evaluate program efficiency, and determine how well initiatives are working. Our work also consisted of helping with overall data organization, both in ensuring clean data and efficient data entry. We explored the implementation of 2D barcode scanners to read data electronically in different areas throughout the system. Electronic data entry improves data consistency and efficiency in entering data into the system. Ultimately, correct data entry and clean data will lead to more trustworthy analysis of Charlottesville´s criminal justice system.
  • Keywords
    criminal law; data analysis; data visualisation; database management systems; decision making; police data processing; 2D barcode scanners; Charlottesville system; Charlottesville/Albemarle; EBDM performance measures; Tableau; charts; clean data; courts; criminal justice system; dashboards; data analysis; data consistency; data efficiency; data interpretation; data organization; data visualization tool; database structure; electronic data entry; evidence based decision making; graphs; integrated database; jail; legacy systems; local criminal justice authorities; police; post-trial services; pre-trial services; program efficiency; trustworthy analysis; Communities; Data analysis; Data visualization; Databases; Decision making; Measurement; Organizations; Data entry; Evidence based decision making; Integrated database; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Information Engineering Design Symposium (SIEDS), 2015
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    978-1-4799-1831-7
  • Type

    conf

  • DOI
    10.1109/SIEDS.2015.7116993
  • Filename
    7116993