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Dissertation 4.4

Renewable Energy and Data Quality And Bias among City Planners — Post-Pandemic Lessons

18
Pages
APA
Style
~ 19–28 mins
Reading Time
RPA Green Finance Leadership
Abstract

This dissertation investigates “Renewable Energy 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 an actionable roadmap for researchers and practitioners.

Renewable Energy and Data Quality And Bias among City Planners — Post-Pandemic Lessons

ABSTRACT
Renewable Energy and Data Quality And Bias among City Planners — Post-Pandemic Lessons is unpacked across themes: interoperability, change enablement, governance, and security. Limitations and future research paths are noted.
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