Food Security and Data Quality And Bias among City Planners — Post-Pandemic Lessons

Case Study 4.3

Food Security and Data Quality And Bias among City Planners — Post-Pandemic Lessons

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Harvard

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~ 9–15 mins

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Supply Chain Impact DevSecOps

Abstract

This case study investigates “Food Security and Data Quality And Bias among City Planners — Post-Pandemic Lessons” using a mixed-methods case study. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Food Security and Data Quality And Bias among City Planners — Post-Pandemic Lessons

ABSTRACT

Food Security and Data Quality And Bias among City Planners — Post-Pandemic Lessons is unpacked across themes: interoperability, equity, scalability, and benefits. Limitations and future research paths are noted.

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