Human-Computer Interaction Adoption in City Planners: Data Quality And Bias — A social network analysis

Report 4.7

Human-Computer Interaction Adoption in City Planners: Data Quality And Bias — A social network analysis

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Harvard

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~ 23–32 mins

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Impact Supply Chain Governance

Abstract

This report investigates “Human-Computer Interaction Adoption in City Planners: Data Quality And Bias — A social network analysis” using a event study methodology. Through a human-centered lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Human-Computer Interaction Adoption in City Planners: Data Quality And Bias — A social network analysis

ABSTRACT

Human-Computer Interaction Adoption in City Planners: Data Quality And Bias — A social network analysis is unpacked across themes: KPIs, usability, costs, and benefits. Limitations and future research paths are noted.

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