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Mortality in the DDS Prisons in Chad, 1985–1988

Patrick Ball (2014). Human Rights Data Analysis Group. August 22, 2014. © 2014 HRDAG. Creative Commons BY-NC-SA.


Crean sistema para predecir fosas clandestinas en México

Por ello, Human Rights Data Analysis Group (HRDAG), el Programa de Derechos Humanos de la Universidad Iberoamericana (UIA) y Data Cívica, realizan un análisis estadístico construido a partir de una variable en la que se identifican fosas clandestinas a partir de búsquedas automatizadas en medios locales y nacionales, y usando datos geográficos y sociodemográficos.


Hissène Habré, le Pinochet Africain


Rise of the racist robots – how AI is learning all our worst impulses

“If you’re not careful, you risk automating the exact same biases these programs are supposed to eliminate,” says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was “learning” from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is “especially nefarious” because police can say: “We’re not being biased, we’re just doing what the math tells us.” And the public perception might be that the algorithms are impartial.


Quantifying Injustice

“In 2016, two researchers, the statistician Kristian Lum and the political scientist William Isaac, set out to measure the bias in predictive policing algorithms. They chose as their example a program called PredPol.  … Lum and Isaac faced a conundrum: if official data on crimes is biased, how can you test a crime prediction model? To solve this technique, they turned to a technique used in statistics and machine learning called the synthetic population.”


Using Machine Learning to Help Human Rights Investigators Sift Massive Datasets

How we built a model to search hundreds of thousands of text messages from the perpetrators of a human rights crime.

Contact Us

You may contact us via info @ hrdag.org or use this form. Would you like to receive our newsletter? Great! Please sign up here. Find us on Mastodon Follow HRDAG on Mastodon. Employment with HRDAG Please keep in touch by signing up for our newsletters and following us on Twitter @hrdag or Mastodon. If you do not see a job listed here, please do not send your CV or résumé, as we do not file or save them, and we will only have to send you a sad “no thank you” letter. Volunteering with HRDAG Are you interested in volunteering your time to the Human Rights Data Analysis Group? We’re very flattered—but at this time we’re ...

Speaking Truth to Power in Chad

Our hearty congratulations to our partners at Human Rights Watch (HRW), Association des Victimes des Crimes du Régime de Hissène Habré (AVCRP), Association Tchadienne pour la Promotion et la Défense des Droits de l’Homme (PDDH), and the Fédération Internationale des ligues des Droits de l’Homme (FIDH) on today's launch of "La Plaine des mortes: Le Tchad des Hissène Habré, 1982-1990." This book chronicles the alleged human rights abuses of Hissène Habré, the president of Chad between 1982 and 1990. It is the culmination of more than 13 years of investigations, documentation and research focused on uncovering the nature of political ...

Syria 2012 – Modeling Multiple Datasets in an Ongoing Conflict

The struggle between Syrian President Bashar al-Assad's regime and opposition forces has generated extensive global press coverage, but few accurate estimates of casualties. In January 2013, the United Nations Office of the High Commissioner for Human Rights (OHCHR) released a report on the number of conflict-related killings in Syria. The UN report is based on statistical analysis conducted by HRDAG scientists Megan Price, Jeff Klingner and Patrick Ball. This chapter examines HRDAG’s findings which compared information from a database collected by the Syrian government with six databases compiled by Syrian human rights activists and citizen ...

Los asesinatos de líderes sociales que quedan fuera de las cuentas

Una investigación de Dejusticia y Human Rights Data Analysis Group concluyó que hay un subconteo en los asesinatos de líderes sociales en Colombia. Es decir, que el aumento de estos crímenes en 2016 y 2017 podría ser incluso mayor al reportado por las organizaciones y por las cifras oficiales.


Reality and Risk in Our Mortality Study of the Peruvian TRC

HRDAG researchers and analysts at Peru's Truth and Reconciliation Commission (TRC) estimated conflict mortality due to violence using Capture-Recapture methods.

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies

This Harvard Data Science Review article uses the least unreliable source of pandemic data: reported deaths.

El Salvador 1991 – Who Did What To Whom?

Members of the Salvadoran military committed tens of thousands of killings during the country’s civil war which raged from the late 1970’s until 1990. While working for a peace organization in El Salvador in 1991, Patrick Ball was asked by a colleague at a human rights group to help organize a large collection of human rights testimonies. Trained as a social scientist, Ball created the “Who Did What To Whom” (WTWTW) model for examining human rights data. Ball used this system to create a structured, relational database of violations reported in more than 9,000 testimonies to the Salvadoran Human Rights Commission. To determine who was most ...

Guatemala: The Secret Files

Guatemala is still plagued by urban crime, but it is peaceful now compared to the decades of bloody civil war that convulsed the small Central American country. As he arrives in the capital, Guatemala City, FRONTLINE/World reporter Clark Boyd recalls, “When the fighting ended in the 1990s, many here wanted to move on, burying the secrets of the war along with hundreds of thousands of the dead and disappeared. But then, in July 2005, the past thundered back.”


The Day We Fight Back

Today, February 11, is the day of national protests against the National Security Administration. The critical threat is mass surveillance. In the words of The Day We Fight Back, “Together we will push back against powers that seek to observe, collect, and analyze our every digital action. Together, we will make it clear that such behavior is not compatible with democratic governance. Together, if we persist, we will win this fight.” (more…)

Reflections: Growing and Learning in Guatemala

As a woman, mother and sociologist who is curious about the patterns of our political past in Guatemala, I feel privileged to know and work with the HRDAG team. Collaborating and learning from people like Patrick, Megan, Suzanne, Beatriz and Tamy has been an invaluable gift. I have discovered many things, both human and academic. For example, I’ve learned new ways of seeing what seemed everyday and simple, to discover that not only do the social sciences and statistics work hand in hand, but that they are critical for understanding Guatemala’s reality. Twenty years ago, on 29 December, 1996, Guatemala made history by signing the Guatemala Peace ...

HRDAG To Join the Partnership on AI

HRDAG is joining Partnership on AI to Benefit People and Society (PAI).

Welcoming Our 2019 Human Rights Intern

Trina Reynolds-Tyler is HRDAG's 2019 Human Rights Intern.

HRDAG’s Year in Review: 2022

This past year at HRDAG has been about continuing efforts to uncover the truth.

Colombia 2010-2012 – Advancing Methods to Count Deaths and Missing People

From 2010 to 2012, a series of reports by HRDAG researchers applied new statistical methodologies to investigate deaths and missing people in Colombia. A 2010 report released by HRDAG scientists Tamy Guberek, Daniel Guzmán, Megan Price, Kristian Lum, and Patrick Ball documented patterns of violence in the Colombian state of Casanare. HRDAG researchers used MSE to analyze killings and disappearances recorded in 15 datasets provided by judicial, government, security, forensic and civil society organizations. Matching cases that appeared in more than one dataset, HRDAG statisticians modeled the process by which violations were recorded and estimated the ...

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

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