Data Visualization for Human Rights Project

The Center for Human Rights and Global Justice and Tandon School of Engineering at New York University are investigating ways human rights groups can use data visualization to enhance the impact and effectiveness of their research and advocacy.

With a grant from the MacArthur Foundation, CHRGJ Faculty Director and Co-Chair Meg Satterthwaite collaborated with NYU Tandon professors of engineering and technology management, Enrico Bertini and Oded Nov, as co-primary investigators to research different methods that human rights groups use to visualize their data and how this can be improved.

Beginning with a seed grant from NYU-Poly, the team worked with Research Scholars John Emerson, Dr. Jeremy Boy, and Dr. Anshul Pandey on research and publication of papers examining the persuasive power of visualization, an empirical analysis of deception in visualization, and empathy in the use of anthropomorphized visualizations.  The team has partnered with non-governmental organizations focused on civil and political rights, as well as economic, social, and cultural rights to examine specific use cases and to test improvements within the context of active campaigns.

Using this body of research, the team developed guidelines to help human rights advocates use data visualization more effectively. The project disseminates these guidelines, its research, and other resources on the project website.

Margaret L. Satterthwaite
CHRGJ Faculty Director
Director, Global Justice Clinic
Professor of Clinical Law
Related Documents
Reports and Briefing Papers
January 31, 2018
Visualizing Data for Human Rights Advocacy: A Guidebook and Workshop Activity
View Document
Articles and Chapters
May 1, 2017
Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data?
View Document
September 1, 2016
Human Rights Data Used the Wrong Way can be Misleading
View Document

Related Pages

Human Rights Methodology and Institutions
Initiative on Human Rights Fact-Finding, Methods, and Evidence

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