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Dissertation 4.5

Epidemiology and Data Quality And Bias among Insurance Underwriters — Post-Pandemic Lessons

32
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Harvard
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~ 34–48 mins
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DEI Education Food Systems
Abstract

This dissertation investigates “Epidemiology and Data Quality And Bias among Insurance Underwriters — Post-Pandemic Lessons” using a propensity score matching. Through a institutional lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Epidemiology and Data Quality And Bias among Insurance Underwriters — Post-Pandemic Lessons

ABSTRACT
Epidemiology and Data Quality And Bias among Insurance Underwriters — Post-Pandemic Lessons is unpacked across themes: risks, equity, KPIs, and usability. Limitations and future research paths are noted.
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