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Dissertation 4.9

Digital Twins for Data Science Teams: Resilience And Continuity | Post-Pandemic Lessons

17
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IEEE
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~ 18–27 mins
Reading Time
HCI UX Sociology
Abstract

This dissertation investigates “Digital Twins for Data Science Teams: Resilience And Continuity | Post-Pandemic Lessons” using a event study methodology. Through a human-centered lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Digital Twins for Data Science Teams: Resilience And Continuity | Post-Pandemic Lessons

ABSTRACT
Digital Twins for Data Science Teams: Resilience And Continuity | Post-Pandemic Lessons is unpacked across themes: scalability, governance, change enablement, and risks. Limitations and future research paths are noted.
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