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The modular nature of the workflow and use of Git allowed us to work on different parts of the project from across the country.
Identifiers being sequential could make possible estimations of the population of detained children.
HRDAG built a machine-learning tool to strip the raw data of any potentially identifying information such as names and court case numbers. There was no "acceptable error rate."
Paula Amado and María Juliana Durán Fedullo reflect on how the Truth Commission may change Colombia’s history, finally officially acknowledging the 50-year conflict and its casualties, and reckoning with who did what to whom.
Help us hold human rights violators accountable!
Will you help HRDAG advance human rights?
Dec 10, 1991
HRDAG is born when Patrick Ball begins database design at the Human Rights Office of the Salvadoran Lutheran Church. The work soon moves to the non-governmental Human Rights Commission (CDHES). The database analysis identified the 100 worst officers in the Salvadoran military — who were forced to resign as part of the peace process.
1994
Patrick publishes A Definit...
Dear Friends,
This has been quite a year, and I don’t just mean the recent political events in the United States, Europe and the Middle East.
Thanks to your ongoing support, HRDAG has a number of accomplishments to be proud of this year:
Patrick’s testimony in the trial of Hissene Habré for crimes against humanity was cited by the judges three times in their determination of guilt.
We launched a book describing ten years of collaborative work with the Historic Archive of the National Police in Guatemala.
We contributed quantitative analyses to Amnesty International’s report on deaths in Syrian custody, and published an ...
Benetech's Human Rights Data Analysis Group Publishes 2010 Analysis of Human Rights Violations in Five Countries
Analysis of Uncovered Government Data from Guatemala and Chad Clarifies History and Supports Criminal Prosecutions
By Ann Harrison
The past year of research by the Benetech Human Rights Data Analysis Group (HRDAG) has supported criminal prosecutions and uncovered the truth about political violence in Guatemala, Iran, Colombia, Chad and Liberia. On today's celebration of the 62nd anniversary of the Universal Declaration of Human Rights, HRDAG invites the international community to engage scientifically defensible methodologies that ...
Dear friends,
Our spirits were really on the ground on Wednesday, but they lifted at the board meeting we had at the Human Rights Data Analysis Group on Thursday. Executive Director Megan Price, Director of Research Patrick Ball, and the Board drafted these thoughts which we'd like to share with you.
For more than twenty-five years, we have held heads of state accountable for human rights violations. We support our partners and advocates in the human rights field. They collect data which we analyze using technical and scientific expertise. Those scientific results bring clarity to human rights violence and support the fight for justice.
...
Profile touching on HRDAG’s work on the trial and conviction of Hissène Habré, its US Policing Project, data integrity, data archaeology and more.
As we get ready to begin our fourth year as an independent nonprofit, we are, as always, indebted to our Advisory Board and to our funders for their support and vision. We’re finishing up a busy year that took us to Dakar (for the trial of former Chadian dictator Hissène Habré), Pristina (for the release of the Kosovo Memory Book), Colombia (for work on a book about the Guatemalan Police Archives), and kept us busy here at home working on police violence statistics. But one of our biggest victories has been to score a new, talented, wise Advisory Board member—Michael Bear Kleinman, whom we first met when he was working with Humanity United.
...
For more than 20 years, HRDAG has been carving out a niche in the international human rights movement. We know what we’re good at and what we’re not qualified to do. We know what quantitative questions we think are important for the community, and we know what we like to do. These preferences guide us as we consider whether to take on a project. We’re scientists, so our priorities will come as no surprise. We like to stick to science (not ideology), avoid advocacy, answer quantifiable questions, and increase our scientific understanding.
While we have no hard-and-fast rules about what projects to take on, we organize our deliberation ...
For more than 20 years, HRDAG has been carving out a niche in the international human rights movement. We know what we’re good at and what we’re not qualified to do. We know what quantitative questions we think are important for the community, and we know what we like to do. These preferences guide us as we consider whether to take on a project. We’re scientists, so our priorities will come as no surprise. We like to stick to science (not ideology), avoid advocacy, answer quantifiable questions, and increase our scientific understanding.
While we have no hard-and-fast rules about what projects to take on, we organize our deliberation ...
Kristian Lum’s work on the HRDAG Policing Project is referred to here: “In fact, Lum argues, it’s not clear how well this model worked at depicting the situation in Oakland. Those data on drug crimes were biased, she now reports. The problem was not deliberate, she says. Rather, data collectors just missed some criminals and crime sites. So data on them never made it into her model.”
Work by HRDAG researchers Kristian Lum and William Isaac is cited in this article about the Policing Project: “While this bias knows no color or socioeconomic class, Lum and her HRDAG colleague William Isaac demonstrate that it can lead to policing that unfairly targets minorities and those living in poorer neighborhoods.”
Kristian Lum discusses the challenges of getting accurate data from conflict zones, as well as her concerns about predictive policing if law enforcement gets it wrong.
“Every kind of classification system – human or machine – has several kinds of errors it might make,” [Patrick Ball] says. “To frame that in a machine learning context, what kind of error do we want the machine to make?” HRDAG’s work on predictive policing shows that “predictive policing” finds patterns in police records, not patterns in occurrence of crime.
When Patrick Ball was introduced to Ibero’s database, the director of research at the Human Rights Data Analysis Group in San Francisco, California, saw an opportunity to turn the data into a predictive model. Ball, who has used similar models to document human rights violations from Syria to Guatemala, soon invited Data Cívica, a Mexico City–based nonprofit that creates tools for analyzing data, to join the project.
