Machine Learning for Proactive Rights Enforcement: The Case of Labor and Housing Rights
Abstract: How can data science be used to improve the process of rights enforcement? In reactive rights enforcement, policymakers wait for individuals to 1) recognize a rights violation has occurred, 2) decide to report the violation, and 3) navigate reporting bureaucracies. Reactive rights enforcement can lead to inequalities in rights enforcement. In contrast, the projects we feature involve proactive rights enforcement.
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