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Case Study 4.7

Data Quality And Bias in Blockchain for Data Science Teams: A randomized controlled trial design

25
Pages
Chicago
Style
~ 26–37 mins
Reading Time
Leadership CV Blockchain
Abstract

This case study investigates “Data Quality And Bias in Blockchain for Data Science Teams: A randomized controlled trial design” using a propensity score matching. Through a socio-technical lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Data Quality And Bias in Blockchain for Data Science Teams: A randomized controlled trial design

ABSTRACT
Data Quality And Bias in Blockchain for Data Science Teams: A randomized controlled trial design is unpacked across themes: equity, security, scalability, and governance. Limitations and future research paths are noted.
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