This new report by the United Nations Office of High Commissioner of Human Rights builds on three prior analyses and new statistical analysis by HRDAG on killings in Syria.
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New results for the identification of municipalities with clandestine graves in Mexico
The goal of this project is identify Mexican municipalities with a high probability of having clandestine graves. Knowing where to search will help to create better public programs regarding missing persons in Mexico.
Kristian Lum in Bloomberg
The interview poses questions about Lum's focus on artificial intelligence and its impact on predictive policing and sentencing programs.
HRDAG Retreat 2018
What follows is an elaborate criss-crossing of collaborations—retreat is a time to embrace the productivity that comes with being in the same room.
Where Stats and Rights Thrive Together
Everyone I had the pleasure of interacting with enriched my summer in some way.
Courts and police departments are turning to AI to reduce bias, but some argue it’ll make the problem worse
Kristian Lum: “The historical over-policing of minority communities has led to a disproportionate number of crimes being recorded by the police in those locations. Historical over-policing is then passed through the algorithm to justify the over-policing of those communities.”
Guatemala’s Bol de la Cruz Found Guilty
Today Guatemala’s former national police chief Colonel Héctor Rafael Bol de la Cruz was convicted and sentenced to 40 years in prison for his role in the 1984 kidnapping and disappearance of 27-year-old student union leader Fernando Garcia, who was last seen when officers detained him outside his home. Along with Bol de la Cruz, former senior police officer Jorge Gomez was also tried; he received a sentence of 40 years in prison. That verdict comes in part because of testimony this month by HRDAG’s Patrick Ball, who served as an expert witness and presented data analysis done with colleague Daniel Guzmán to assess the flow of thousands of ...
Covid-19 Research and Resources
HRDAG is identifying and interpreting the best science we can find to shed light on the global crisis brought on by the novel coronavirus, about which we still know so little. Right now, most of the data on the virus SARS-CoV-2 and Covid-19, the condition caused by the virus, are incomplete and unrepresentative, which means that there is a great deal of uncertainty. But making sense of imperfect datasets is what we do. HRDAG is contributing to a better understanding with explainers, essays, and original research, and we are highlighting trustworthy resources for those who want to dig deeper.
Papers and articles by HRDAG
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Film: Solving for X
Solving for X documents Patrick's team as they travel to Guatemala, Kosovo, and Liberia, helping human rights supporters apply sophisticated computer analysis to human rights events.
Lessons at HRDAG: Making More Syrian Records Usable
If we could glean key missing information from those fields, we would be able to use more records.
HRDAG’s Year in Review: 2020
In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.
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.
Lies, Damned Lies and Official Statistics
This essay in the Health and Human Rights Journal addresses attempts to undermine Covid-19 data collection.
Lessons at HRDAG: Holding Public Institutions Accountable
Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.
How Review of Police Data Verified Neglect of Missing Black Women
Sloppy recordkeeping by Chicago police has compromised missing persons cases. HRDAG is working with Pulitzer Prize-winning Invisible Institute to shed light on these stories.
Evaluating gunshot detection technology
Bailey’s analysis stemmed from data we had access to as part of our ongoing collaboration with the Invisible Institute.
Without Encryption, My Work Wouldn’t Be Possible
Structural Zero Issue 03
August 24, 2025
Part Three of Our Three-Part “Gathering the Data” Series. Read part one and part two.
In computer security, “security” is always relative to something. What are we actually defending against, and how are we doing it? This is our “threat model.”
My colleagues and I have been using scientific tools to analyze evidence of human rights abuses, including using statistics to uncover mass graves in Mexico and analyzing under-reported police homicides in the United States.
Our work isn’t always popular. It can infuriate those in power who want to cover up incriminating truths about the ...
HRDAG Takes a Stand Against Tyranny in the United States
by Patrick Ball and Megan Price
Today the Human Rights Data Analysis Group (HRDAG) publicly denounces the growing attacks on science and human rights in the United States. We reaffirm our commitment to using rigorous scientific research and data analysis to uphold accountability for perpetrators of violence—particularly when those perpetrators are in power.
For decades, HRDAG has sought accountability for those who have committed war crimes and genocide around the world. We have researched patterns of genocide, torture, disappearances, and other forms of state-sponsored violence in countries such as Guatemala, South Africa, and Haiti. We ...
Watch now: “In the Face of Tyranny,” a Webinar with HRDAG
The Human Rights Data Analysis Group recently hosted a conversation about the significant threats facing human rights researchers and scientific NGOs in the United States. We are posting the first part of this conversation on YouTube so that others may watch:
In addition to this community conversation, HRDAG put out a statement outlining our specific concerns about the targeting of the human rights and research community. Read the statement and our blog post.
As HRDAG Executive Director Dr. Megan Price explained, this is not a departure for HRDAG. As a scientific organization grounded in evidence, HRDAG remains fundamentally nonpartisan. ...
Projects
We work around the world
Here’s more information about How We Choose Projects.
