Data Quality And Bias in Quantum Computing for Gig Workers: A mixed-methods case study

Coursework 4.7

Data Quality And Bias in Quantum Computing for Gig Workers: A mixed-methods case study

Pages

Chicago

Style

~ 39–55 mins

Reading Time

Cold Chain InsurTech MLOps

Abstract

This coursework investigates “Data Quality And Bias in Quantum Computing for Gig Workers: A mixed-methods case study” using a propensity score matching. Through a institutional lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Data Quality And Bias in Quantum Computing for Gig Workers: A mixed-methods case study

ABSTRACT

Data Quality And Bias in Quantum Computing for Gig Workers: A mixed-methods case study is unpacked across themes: governance, security, change enablement, and benefits. Limitations and future research paths are noted.

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