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Human-Computer Interaction and Data Quality And Bias among Data Science Teams — A panel regression with fixed effects

40
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MLA
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~ 42–60 mins
Reading Time
FinTech AIOps Sustainability
Abstract

This report investigates “Human-Computer Interaction and Data Quality And Bias among Data Science Teams — A panel regression with fixed effects” using a social network analysis. Through a institutional lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Human-Computer Interaction and Data Quality And Bias among Data Science Teams — A panel regression with fixed effects

ABSTRACT
Human-Computer Interaction and Data Quality And Bias among Data Science Teams — A panel regression with fixed effects is unpacked across themes: scalability, costs, KPIs, and risks. Limitations and future research paths are noted.
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