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Human Rights and the Decentralized Web
Collaboration between the Colombian Truth Commission, the Special Jurisdiction for Peace, and HRDAG (Dataset)
The Colombian Truth Commission (CEV), the Special Jurisdiction for Peace (JEP), and the Human Rights Data Analysis Group (HRDAG) have worked together to integrate data and calculate statistical estimates of the number of victims of the armed conflict, including homicides, forced disappearances, kidnapping, and the recruitment of child soldiers. Data are available through National Administrative Department of Statistics (DANE), the Truth Commission, and GitHub.
The Allegheny Family Screening Tool’s Overestimation of Utility and Risk
Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Allegheny Family Screening Tool’s Overestimation of Utility and Risk. Logic(s). 13 December, 2023. Issue 20.
Here’s how an AI tool may flag parents with disabilities
HRDAG contributed to work by the ACLU showing that a predictive tool used to guide responses to alleged child neglect may forever flag parents with disabilities. “These predictors have the effect of casting permanent suspicion and offer no means of recourse for families marked by these indicators,” according to the analysis from researchers at the ACLU and the nonprofit Human Rights Data Analysis Group. “They are forever seen as riskier to their children.”
Investigating Boston Police Department SWAT Raids from 2012 to 2020
HRDAG collaborated with Data for Justice Project on a tool tool allowing members of the public to visualize and analyze nearly a decade of Boston Police Department SWAT team after-action reports. Tarak Shah of HRDAG is named in the acknowledgments.
El científico que usa estadísticas para encontrar desaparecidos en El Salvador, Guatemala y México
Patrick Ball es un sabueso de la verdad. Ese deseo de descubrir lo que otros quieren ocultar lo ha llevado a desarrollar fórmulas matemáticas para detectar desaparecidos.
Su trabajo consiste en aplicar métodos de medición científica para comprobar violaciones masivas de derechos humanos.
New Report Raises Questions Over CPD’s Approach to Missing Persons Cases
In this video, Trina Reynolds-Tyler of Invisible Institute talks about her work with HRDAG on the missing persons project in Chicago and Beneath the Surface.
Preserving Human Rights Data with the Filecoin Network: A Journey into the Decentralized Web with HRDAG
Patrick Ball (2024). Preserving Human Rights Data with the Filecoin Network: A Journey into the Decentralized Web with HRDAG. Filecoin Foundation for the Decentralized Web. 18 April, 2024.
Deaths in Custody during the Armed Conflict in Syria, 2011–2023
Maria Gargiulo, Tarak Shah, Megan Price (2024). Deaths in Custody during the Armed Conflict in Syria, 2011–2023. Human Rights Data Analysis Group. 10 December, 2024. © 2024 HRDAG. Creative Commons BY-NC-SA.
There may have been 14 undocumented Korean “comfort women” in Palembang, Indonesia
Patrick Ball, Ethan Hee-Seok Shin and Hyerin Yang (2018). There may have been 14 undocumented Korean “comfort women” in Palembang, Indonesia. Human Rights Data Analysis Group. 26 December 2018.© 2018 HRDAG. Creative Commons.
Data ‘hashing’ improves estimate of the number of victims in databases
But while HRDAG’s estimate relied on the painstaking efforts of human workers to carefully weed out potential duplicate records, hashing with statistical estimation proved to be faster, easier and less expensive. The researchers said hashing also had the important advantage of a sharp confidence interval: The range of error is plus or minus 1,772, or less than 1 percent of the total number of victims.
“The big win from this method is that we can quickly calculate the probable number of unique elements in a dataset with many duplicates,” said Patrick Ball, HRDAG’s director of research. “We can do a lot with this estimate.”
All the Dead We Cannot See
Ball, a statistician, has spent the last two decades finding ways to make the silence speak. He helped pioneer the use of formal statistical modeling, and, later, machine learning—tools more often used for e-commerce or digital marketing—to measure human rights violations that weren’t recorded. In Guatemala, his analysis helped convict former dictator General Efraín Ríos Montt of genocide in 2013. It was the first time a former head of state was found guilty of the crime in his own country.
One Better
The University of Michigan College of Literature, Science and the Arts profiled Patrick Ball in its fall 2016 issue of the alumni magazine. Here’s an excerpt:
Ball believes doing this laborious, difficult work makes the world a more just place because it leads to accountability.
“My part is a specific, narrow piece, which just happens to fit with the skills I have,” he says. “I don’t think that what we do is in any way the best or most important part of human rights activism. Sometimes, we are just a footnote—but we are a really good footnote.”
The Bigness of Big Data: samples, models, and the facts we might find when looking at data
Patrick Ball. 2015. The Bigness of Big Data: samples, models, and the facts we might find when looking at data. In The Transformation of Human Rights Fact-Finding, ed. Philip Alston and Sarah Knuckey. New York: Oxford University Press. ISBN: 9780190239497. © The Oxford University Press. All rights reserved.