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About Us
Who We Are
The Human Rights Data Analysis Group is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world. We are a team with expertise in mathematical statistics, computer science, demography, and social science. We are non-partisan—we do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and ...
The Statistics of Mortality Due to Conflict in Peru
A key point is that human rights data collection prior to the TRC largely ignored violence by the Shining Path.
HRDAG Retreat 2014
Ten data nerds gathered in a large hilltop beach house to analyze counts of killings from several war-torn countries. The time was January 16-20, 2014, the place was near San Francisco, the agenda was packed, and I was excited to be there.
Having defended my dissertation at Carnegie Mellon University just days before, I had often supposed that my thesis on a generalization of
log-linear models for capture-recapture might serve little other purpose than to fill a line on my curriculum vitae. This perception faded after a mid-2013 discussion with Patrick convinced me that HRDAG's data challenges could easily be the best match to my research ...
First Things First: Assessing Data Quality Before Model Quality.
Anita Gohdes and Megan Price (2013). Journal of Conflict Resolution, Volume 57 Issue 6 December 2013. © 2013 Journal of Conflict Resolution. All rights reserved. Reprinted with permission of SAGE. [online abstract]DOI: 10.1177/0022002712459708.
Estimating Undocumented Homicides with Two Lists and List Dependence
Kristian Lum and Patrick Ball. 2015. Human Rights Data Analysis Group (April 2). © 2015 HRDAG.Creative Commons BY-NC-SA.
Justice Unknown, Justice Unsatisfied? Bosnian NGOs Speak about the International Criminal Tribunal for the Former Yugoslavia.
Kristen Cibelli and Tamy Guberek. “Justice Unknown, Justice Unsatisfied? Bosnian NGOs Speak about the International Criminal Tribunal for the Former Yugoslavia.” A project of Education and Public Inquiry and International Citizenship at Tufts University. December, 2000.
Release of Yellow Book Calls on Salvadoran Military to Open Archives
With the release today of a civil war-era catalog of “enemies,” Salvadorans are calling for a new look at the 12-year civil war during which hundreds of citizens were victims of human rights violations such as torture, forced disappearance, and illegal imprisonment.
The recently leaked document, known as The Yellow Book, is a list created and (more…)
Celebrating Ten Years of Data from the AHPN
Ten years ago, in July 2005, human rights officers stumbled upon a nondescript warehouse in a commercial zone of Guatemala City and changed history. They had discovered an archive–its existence kept secret–belonging to the Guatemalan National Police, whose officers committed human rights atrocities on behalf of the government during the civil war.
Inside the building was the bureaucratic detritus typical of a large government agency: 80 million pages detailing shifts worked, tasks assigned, assignments fulfilled, workers’ whereabouts, and who was supervising whom. The documents, which were found stacked on dirty floors, shoved into bags, ...
Drug-Related Killings in the Philippines
Patrick Ball, Sheila Coronel, Mariel Padilla and David Mora (2019). Drug-related killings in the Philippines. Human Rights Data Analysis Group. 26 July 2019. © HRDAG 2019.
Patrick Ball, Sheila Coronel, Mariel Padilla and David Mora (2019). Drug-related killings in the Philippines. Human Rights Data Analysis Group. 26 July 2019. © HRDAG 2019.
Measures of Fairness for New York City’s Supervised Release Risk Assessment Tool
Kristian Lum and Tarak Shah (2019). Measures of Fairness for New York City's Supervised Release Risk Assessment Tool. Human Rights Data Analysis Group. 1 October 2019. © HRDAG 2019.
Kristian Lum and Tarak Shah (2019). Measures of Fairness for New York City’s Supervised Release Risk Assessment Tool. Human Rights Data Analysis Group. 1 October 2019. © HRDAG 2019.
HRDAG’s Year in Review: 2023
In 2023, HRDAG continued to learn from our partners about resilience and patience.
Focus on Good Science, not Scientists
We recently learned about an article by Dr Nafeez Ahmed that criticizes the methods and conclusions of the Iraq Body Count (IBC) and the work of Professor Michael Spagat. Dr Ahmed cites our work extensively in support of his arguments, so we think it’s useful for us to reply.
We welcome Dr Ahmed’s summary of various points of scientific debate about mortality due to violence, specifically in Iraq and Colombia. We think these are very important questions for the analysis of data about violent conflict, and indeed, about data analysis more generally. We appreciate his exploration of the technical nuances of this difficult field.
Unfortunately, ...
That Higher Count Of Police Killings May Still Be 25 Percent Too Low.
Carl Bialik of 538 Politics reports on a new HRDAG study authored by Kristian Lum and Patrick Ball regarding the Bureau of Justice Statistics report about the number of annual police killings, which was issued a few weeks ago. As Bialik writes, the HRDAG scientists extrapolated from their work in five other countries (Colombia, Guatemala, Kosovo, Sierra Leone and Syria) to estimate that the BJS study missed approximately one quarter of the total number of killings by police.
Partners
How we work with partners is how we relate to the whole human rights community. We work with human rights advocates and defenders to support their goals by complementing their substantive expertise with our technical expertise. To date, partners have included truth commissions, international criminal tribunals, United Nations missions, and non-governmental human rights organizations on five continents.
Here are a few stories that illustrate how we work with our partners:
HRDAG partner stories:
Quantifying Police Misconduct in Louisiana (2023)
Scraping for Pattern: Protecting Immigrant Rights in Washington State (2022)
Police Violence ...
Timor-Leste Op-Ed
Defending Human Rights Data And The Possibility of Justice In East Timor
By Patrick Ball and Romesh Silva
On June 5th, armed gangs broke into the offices of the Commission for Reception, Truth and Reconciliation (CAVR) in Dili, East Timor and stole their motorbikes.
Many human rights workers wondered whether the mobs would soon return to loot the irreplaceable paper records used by the CAVR to compile a definitive report on human rights abuses during the Indonesian occupation of East Timor from 1975-1999.
The release of this report was preempted by the recent violence in Dili. But in the midst of the chaos, Australian military forces stepped in to ...
HRDAG and the Digital Commons
One of the three main goals of HRDAG is education and outreach, and to that end we use Creative Commons licenses for all of our blogposts and, whenever possible, for our publications. Using a Creative Commons license makes it clear that educators are free to use HRDAG's publications, in their entirety, and with the peace of mind that they are doing so with our blessing.
Also, the use of the Creative Commons license allows us to participate in and encourage the creation of a digital commons, which we feel helps to advance another one of our goals, the creation of knowledge. We feel that it’s important to offer up our publications for use and reuse ...
Multiple Systems Estimation: Collection, Cleaning and Canonicalization of Data
<< Previous post: MSE: The Basics
Q3. What are the steps in an MSE analysis?
Q4. What does data collection look like in the human rights context? What kind of data do you collect?
Q5. [In depth] Do you include unnamed or anonymous victims in the matching process?
Q6. What do you mean by "cleaning" and "canonicalization?"
Q7. [In depth] What are some of the challenges of canonicalization? (more…)
Welcome!
As of today, the Human Rights Data Analysis Group (HRDAG) is an independent* non-profit! It's been a long time coming, and we're delighted to have gotten to this point. HRDAG is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world; for more information, see our About Us page.
Benetech has spun out the scientific and statistical part of the Human Rights Program to HRDAG. The spinout includes (as staff) me -- Patrick Ball -- and Dr Megan Price, as well as our many part-time scientific and field consultants (a list is here). The software and technology component of our work -- ...
Yezidi Activists Teach HRDAG about Human Rights – updated
UPDATE (21 Dec 2014): Juan Cole is reporting that the Kurdish militia (the peshmerga) have retaken Shingal (also known as Sinjar) mountain where many Yezidi people have been trapped since 3 August 2014. They are now moving to liberate other Yezidi towns south of the mountain. The Yezidi people trapped on the mountain are now free. There is no word yet on the thousands of Yezidi people enslaved by ISIS.
ORIGINAL (19 Nov 2014): Farhad (not his real name) got the call from ISIS on his personal cell phone just after lunch: we have your sister, and we will give her back if you pay us $6000, plus $1500 for the driver.
Carrying little more than his ...
Multiple Systems Estimation: The Matching Process
<<Previous post: Collection, Cleaning, and Canonicalization of Data
Q8. What do you mean by "overlap," and why are overlaps important?
Q9. [In depth] Why is automated matching so important, and what process do you use to match records?
Q8. What do you mean by "overlap," and why are overlaps important?
MSE estimates the total number of violations by comparing the size of the overlap(s) between lists of human rights violations to the sizes of the lists themselves. By "overlap," we mean the set of incidents, such as deaths, that appear on more than one list of human rights violations. Accurately and efficiently identifying overlaps between ...