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Dissertation 4.3

Interoperability in Urban Planning for Data Science Teams: A mixed-methods case study

13
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Chicago
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~ 13–21 mins
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Abstract

This dissertation investigates “Interoperability in Urban Planning for Data Science Teams: A mixed-methods case study” using a qualitative grounded theory. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Interoperability in Urban Planning for Data Science Teams: A mixed-methods case study

ABSTRACT
Interoperability in Urban Planning for Data Science Teams: A mixed-methods case study is unpacked across themes: KPIs, usability, governance, and equity. Limitations and future research paths are noted.
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