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Research Proposal 4.7

Data Quality And Bias in Epidemiology for Insurance Underwriters: Evidence from North America

30
Pages
IEEE
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~ 31–46 mins
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AI DEI RPA
Abstract

This research proposal investigates “Data Quality And Bias in Epidemiology for Insurance Underwriters: Evidence from North America” using a qualitative grounded theory. Through a human-centered lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Data Quality And Bias in Epidemiology for Insurance Underwriters: Evidence from North America

ABSTRACT
Data Quality And Bias in Epidemiology for Insurance Underwriters: Evidence from North America is unpacked across themes: ethics, change enablement, governance, and interoperability. Limitations and future research paths are noted.
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