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Explainable machine learning for predicting homicide clearance in the United States

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  • Campedelli, Gian Maria

Abstract

To explore the potential of Explainable Machine Learning in the prediction and detection of drivers of cleared homicides at the national- and state-levels in the United States.

Suggested Citation

  • Campedelli, Gian Maria, 2022. "Explainable machine learning for predicting homicide clearance in the United States," Journal of Criminal Justice, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:jcjust:v:79:y:2022:i:c:s0047235222000186
    DOI: 10.1016/j.jcrimjus.2022.101898
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    References listed on IDEAS

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    1. M. Marit Rehavi & Sonja B. Starr, 2014. "Racial Disparity in Federal Criminal Sentences," Journal of Political Economy, University of Chicago Press, vol. 122(6), pages 1320-1354.
    2. Knox, Dean & Lowe, Will & Mummolo, Jonathan, 2020. "Administrative Records Mask Racially Biased Policing—CORRIGENDUM," American Political Science Review, Cambridge University Press, vol. 114(4), pages 1394-1394, November.
    3. Papachristos, A.V. & Wildeman, C., 2014. "Network exposure and homicide victimization in an African American community," American Journal of Public Health, American Public Health Association, vol. 104(1), pages 143-150.
    4. Knox, Dean & Lowe, Will & Mummolo, Jonathan, 2020. "Administrative Records Mask Racially Biased Policing," American Political Science Review, Cambridge University Press, vol. 114(3), pages 619-637, August.
    5. Baskin, Deborah & Sommers, Ira, 2010. "The influence of forensic evidence on the case outcomes of homicide incidents," Journal of Criminal Justice, Elsevier, vol. 38(6), pages 1141-1149, November.
    6. Lee, Catherine, 2005. "The value of life in death: Multiple regression and event history analyses of homicide clearance in Los Angeles County," Journal of Criminal Justice, Elsevier, vol. 33(6), pages 527-534.
    7. Gian Maria Campedelli, 2021. "Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime," Journal of Computational Social Science, Springer, vol. 4(2), pages 503-530, November.
    8. Emma Pierson & Camelia Simoiu & Jan Overgoor & Sam Corbett-Davies & Daniel Jenson & Amy Shoemaker & Vignesh Ramachandran & Phoebe Barghouty & Cheryl Phillips & Ravi Shroff & Sharad Goel, 2020. "A large-scale analysis of racial disparities in police stops across the United States," Nature Human Behaviour, Nature, vol. 4(7), pages 736-745, July.
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