Mapping Wage Theft with Data Science
AuthorKariotis, T; Howe, J
AffiliationMelbourne School of Government
Document TypeScholarly Contribution
CitationsKariotis, T. & Howe, J. (2021). Mapping Wage Theft with Data Science
Access StatusAccess this item via the Open Access location
Open Access URLhttps://pursuit.unimelb.edu.au/articles/mapping-wage-theft-with-data-science?utm_campaign=pursuit&utm_content=Mapping+wage+theft+with+data+science_Headline&utm_medium=email&utm_source=pursuit_weekly_digest
Wage theft is almost 'normal' in some industries, but hard to detect. Predictive algorithms can help regulators and give workers an edge.
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