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X-WR-CALNAME;VALUE=TEXT:Sooahn Shin (Harvard)
PRODID:-//Harvard events data//EN
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UID:event_1337056_0
SUMMARY:Sooahn Shin (Harvard)
DESCRIPTION:<h3>Title</h3><p><span>Triage Score: A Counterfactual Risk Assessment Instrument</span></p><h3>Abstract</h3><p><span>Risk assessment instruments, or ``risk scores,'' are widely used in high-stakes decision-making settings such as medicine and the criminal justice system. A risk score predicts the likelihood of an undesired outcome if no intervention is made.&nbsp; Thus, a sufficiently high score is often interpreted as a recommendation to intervene. However, risk scores fail to account for what would happen if a decision-maker does intervene.&nbsp; This is problematic because effective decision-making requires consideration of how intervention affects outcomes.&nbsp; We propose ``triage scores,'' which are based on counterfactual utilities.&nbsp; Unlike risk scores, triage scores incorporate counterfactual outcomes under alternative decisions, enabling decision-makers to incorporate a wide range of ethical and practical factors. We illustrate the use of triage scores with an application to our own randomized controlled trial evaluating a pre-trial risk assessment instrument.&nbsp; Our analysis demonstrates that triage scores are able to capture richer utility structures than risk scores and yield substantively distinct results regarding policy evaluation and learning.</span></p>
LOCATION:CGIS Knafel Building, Room K354
STATUS:CONFIRMED
DTSTART:20251015T160000Z
DTEND:20251015T173000Z
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