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Case Article—Racial Bias in Automated Traffic Law Enforcement and the Price of Unjustness

Author

Listed:
  • Chrysafis Vogiatzis

    (Industrial and Enterprise Systems Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801)

  • Eleftheria Kontou

    (Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801)

Abstract

This case study has been developed for students to practice their data analysis and optimization skills in a contemporary societal issue: that of injustice in automated traffic law enforcement. Specifically, this case study is for students of modern data analysis and statistical modeling courses that focus on hypothesis testing; it also has a component for students in optimization and mathematical modeling courses that focus on linear and network optimization. The case study has been used since Spring 2023 in a combination of two courses from the Industrial Engineering (Analysis of Data, an introduction to probability and statistics) and Civil Engineering (Transportation Systems, an introduction to mathematical modeling and optimization for civil engineers with a focus on transportation) curricula.

Suggested Citation

  • Chrysafis Vogiatzis & Eleftheria Kontou, 2025. "Case Article—Racial Bias in Automated Traffic Law Enforcement and the Price of Unjustness," INFORMS Transactions on Education, INFORMS, vol. 25(2), pages 122-127, January.
    • Handle: RePEc:inm:orited:v:25:y:2025:i:2:p:122-127
    DOI: 10.1287/ited.2023.0032ca
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