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Coursework 4.7

Food Security for Data Science Teams: Data Quality And Bias | 2020–2027 Trends

25
Pages
IEEE
Style
~ 26–38 mins
Reading Time
Metaverse DEI Governance
Abstract

This coursework investigates “Food Security for Data Science Teams: Data Quality And Bias | 2020–2027 Trends” using a propensity score matching. Through a economic lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Food Security for Data Science Teams: Data Quality And Bias | 2020–2027 Trends

ABSTRACT
Food Security for Data Science Teams: Data Quality And Bias | 2020–2027 Trends is unpacked across themes: usability, governance, equity, and change enablement. Limitations and future research paths are noted.
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