Evaluating the Implementation of Human Rights Law: A Data Analytics Research Agenda
University of Pennsylvania Journal of International Law
Human rights law relies on national-level implementation and enforcement to give it full meaning. The United Nations' mandatory reporting process, a built-in component of all major human rights treaties, enables monitoring and evaluation of countries' progress toward human rights goals. However, the operation and effectiveness of this process have been largely under-studied. This Article lays the foundations for a data analytics research agenda that can help assess the reporting process and inform human rights law implementation. As a first step, we use a relatively new set of computational tools to evaluate the Concluding Observations issued by a human rights treaty body, the Committee on the Rights of the Child. The Concluding Observations provide both an appraisal of states' practices and a set of recommendations that act as an agenda for the state going forward. Using text and data analytics tools, we mined the text of Concluding Observations issued by the Committee on the Rights of the Child over a twenty-seven-year period to identify the topics addressed in each report and parsed the language of these reports to determine the tenor and tone of the Committee's discussion. We then mapped our findings by state and year, to form a detailed descriptive picture of what the Committee has said, and how the Committee has delivered its message(s), across both geography and time. In doing so, we hope to show how these data analytics tools can contribute to a deeper understanding of the Committee's work and, more broadly, of the effectiveness of the reporting process in securing and protecting human rights.
Charlotte S. Alexander & Jonathan Todres, Evaluating the Implementation of Human Rights Law: A Data Analytics Research Agenda, 43 U. Pa. J. Int'l L. 1 (2021)
Institutional Repository Citation
Charlotte Alexander & Jonathan Todres,
Evaluating the Implementation of Human Rights Law: A Data Analytics Research Agenda,
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