Admission Decisions under Imperfect Classification - An Application in Criminal Justice

Explore how imperfect classification systems impact admission decisions in criminal justice settings through this conference talk by Amy Ward from the University of Chicago, presented at the 12th International Conference on Matrix-Analytic Methods in Stochastic Models. Examine the mathematical frameworks and stochastic models used to analyze decision-making processes when classification systems are inherently flawed or uncertain. Learn about the application of matrix-analytic methods to understand how errors in classification affect outcomes in criminal justice admission decisions, including bail determinations, parole decisions, and other critical junctures in the justice system. Discover the implications of these imperfect systems on fairness, accuracy, and overall system performance, while gaining insights into how stochastic modeling can inform better policy decisions and improve classification accuracy in high-stakes environments.