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Research Proposal 4.5

Climate Risk for Remote Software Engineers: Data Quality And Bias | Post-Pandemic Lessons

36
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Chicago
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~ 38–54 mins
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Risk Esports Governance
Abstract

This research proposal investigates “Climate Risk for Remote Software Engineers: Data Quality And Bias | Post-Pandemic Lessons” using a qualitative grounded theory. Through a socio-technical lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Climate Risk for Remote Software Engineers: Data Quality And Bias | Post-Pandemic Lessons

ABSTRACT
Climate Risk for Remote Software Engineers: Data Quality And Bias | Post-Pandemic Lessons is unpacked across themes: interoperability, security, KPIs, and benefits. Limitations and future research paths are noted.
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