Data Quality And Bias in Edge Computing for City Planners: A event study methodology

Research Proposal 4.7

Data Quality And Bias in Edge Computing for City Planners: A event study methodology

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APA

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~ 12–19 mins

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Tourism InsurTech AIOps

Abstract

This research proposal investigates “Data Quality And Bias in Edge Computing for City Planners: A event study methodology” using a topic modeling on open datasets. Through a institutional lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Data Quality And Bias in Edge Computing for City Planners: A event study methodology

ABSTRACT

Data Quality And Bias in Edge Computing for City Planners: A event study methodology is unpacked across themes: equity, scalability, risks, and costs. Limitations and future research paths are noted.

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