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Case Study 4.2

Scaling And Replication in Human-Computer Interaction for Data Science Teams: Evidence from DACH Region

17
Pages
Chicago
Style
~ 18–27 mins
Reading Time
Impact Logistics DevSecOps
Abstract

This case study investigates “Scaling And Replication in Human-Computer Interaction for Data Science Teams: Evidence from DACH Region” using a randomized controlled trial design. Through a human-centered lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Scaling And Replication in Human-Computer Interaction for Data Science Teams: Evidence from DACH Region

ABSTRACT
Scaling And Replication in Human-Computer Interaction for Data Science Teams: Evidence from DACH Region is unpacked across themes: risks, scalability, security, and ethics. Limitations and future research paths are noted.
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