View Full Paper

Owner Consent Verified
Coursework 4.5

Digital Twins for Urban Households: Data Quality And Bias | Evidence from DACH Region

27
Pages
MLA
Style
~ 28–41 mins
Reading Time
DEI Metaverse Marketing
Abstract

This coursework investigates “Digital Twins for Urban Households: Data Quality And Bias | Evidence from DACH Region” using a panel regression with fixed effects. Through a socio-technical lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

Download PDF Order Similar Paper Save

Digital Twins for Urban Households: Data Quality And Bias | Evidence from DACH Region

ABSTRACT
Digital Twins for Urban Households: Data Quality And Bias | Evidence from DACH Region is unpacked across themes: usability, benefits, equity, and change enablement. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
27 Pages 4.8
Human Factors And Usability in Metaverse for Fortune 500 Firms: Post-Pandemic Lessons
DEI Telemedicine Logistics
View Paper
8 Pages 4.5
Renewable Energy Adoption in Insurance Underwriters: Change Management — 2023–2026 Trends
BioMed Governance InsurTech
View Paper
25 Pages 4.2
UX Research for Public Sector Agencies in the UK: Privacy And Security | A benchmarking and maturity modeling
CV Climate BioMed
View Paper