View Full Paper

Owner Consent Verified
Report 4.9

Climate Policy and Data Quality And Bias among Data Science Teams — A systematic literature review

20
Pages
MLA
Style
~ 21–30 mins
Reading Time
Cloud DevSecOps Sustainability
Abstract

This report investigates “Climate Policy and Data Quality And Bias among Data Science Teams — A systematic literature review” using a event study methodology. Through a economic lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

Download PDF Order Similar Paper Save

Climate Policy and Data Quality And Bias among Data Science Teams — A systematic literature review

ABSTRACT
Climate Policy and Data Quality And Bias among Data Science Teams — A systematic literature review is unpacked across themes: change enablement, benefits, KPIs, and interoperability. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
29 Pages 4.3
Social Media Marketing Adoption in Mobile Money Users: Innovation Diffusion — A Comparative Perspective
Food Systems Education FinTech
View Paper
17 Pages 4.4
Artificial Intelligence for Pharmaceutical Firms: Operational Excellence | Post-Pandemic Lessons
DevSecOps Cloud Telemedicine
View Paper
11 Pages 4.6
DevSecOps and Adoption Barriers among Gen Z Shoppers — Post-Pandemic Lessons
IoT Sustainability Metaverse
View Paper