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Dissertation 4.4

Equity And Access in Renewable Energy for Data Science Teams: Evidence from North America

37
Pages
Harvard
Style
~ 39–54 mins
Reading Time
Logistics Supply Chain Education
Abstract

This dissertation investigates “Equity And Access in Renewable Energy for Data Science Teams: Evidence from North America” using a qualitative grounded theory. Through a human-centered lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Equity And Access in Renewable Energy for Data Science Teams: Evidence from North America

ABSTRACT
Equity And Access in Renewable Energy for Data Science Teams: Evidence from North America is unpacked across themes: scalability, benefits, ethics, and governance. Limitations and future research paths are noted.
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