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Coursework 4.8

Data Quality And Bias in Workforce Analytics for Urban Households: A difference-in-differences analysis

40
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Harvard
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~ 42–60 mins
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DEI Risk AIOps
Abstract

This coursework investigates “Data Quality And Bias in Workforce Analytics for Urban Households: A difference-in-differences analysis” using a design science research. Through a institutional 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 Workforce Analytics for Urban Households: A difference-in-differences analysis

ABSTRACT
Data Quality And Bias in Workforce Analytics for Urban Households: A difference-in-differences analysis is unpacked across themes: security, governance, change enablement, and usability. Limitations and future research paths are noted.
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