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Dissertation 4.8

Education Policy Adoption in Data Science Teams: Scaling And Replication — A Comparative Perspective

39
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Harvard
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~ 41–59 mins
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InsurTech Logistics FinTech
Abstract

This dissertation investigates “Education Policy Adoption in Data Science Teams: Scaling And Replication — A Comparative Perspective” using a topic modeling on open datasets. 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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Education Policy Adoption in Data Science Teams: Scaling And Replication — A Comparative Perspective

ABSTRACT
Education Policy Adoption in Data Science Teams: Scaling And Replication — A Comparative Perspective is unpacked across themes: usability, governance, change enablement, and ethics. Limitations and future research paths are noted.
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