View Full Paper

Dissertation ⭐ 4.3

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

13 pages Chicago style ~7–13 mins read
  • AI
  • Logistics
  • AR/VR

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.

Ready to work with our team?

Get help in 3 simple steps — brief, match, deliver.