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Report 4.8

Workforce Analytics for University Students: Data Quality And Bias | Post-Pandemic Lessons

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IEEE
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~ 24–36 mins
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Abstract

This report investigates “Workforce Analytics for University Students: Data Quality And Bias | Post-Pandemic Lessons” using a Delphi study. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Workforce Analytics for University Students: Data Quality And Bias | Post-Pandemic Lessons

ABSTRACT
Workforce Analytics for University Students: Data Quality And Bias | Post-Pandemic Lessons is unpacked across themes: usability, risks, governance, and security. Limitations and future research paths are noted.
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