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Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project

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Patrick Ball. Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project. © 1996 American Association for the Advancement of Science.


Welcoming Our 2021-2022 Human Rights and Data Science Intern

Larry Barrett has joined HRDAG as a Human Rights and Data Science Intern until February, 2022.

Using statistics to estimate the true scope of the secret killings at the end of the Sri Lankan civil war

In the last three days of the Sri Lankan civil war, as thousands of people surrendered to government authorities, hundreds of people were put on buses driven by Army officers. Many were never seen again.

In a report released today (see here), the International Truth and Justice Project for Sri Lanka and the Human Rights Data Analysis Group showed that over 500 people were disappeared on only three days — 17, 18, and 19 May.


The AHPN: Home of Stories Old and New

Access to the records contained in archives is a concern shared by many. Archives support memory and free access to them strengthens democratic processes. Everyone should be allowed to see first-hand the records contained in an archive and be free to interpret them as needed. Access to archives can increase knowledge on various topics and opens opportunities for different fields of knowledge. (more…)

IRR: Agreement Among Coders is Key

For years I have been engaged in a quantitative study at Guatemala’s Historic Archive of the National Police, or AHPN. (See the blogposts below.) In this study coders collect data on sheets of paper according to criteria established and explained in manuals. But when collecting data, there’s always room for human error—this is why the validity of the study hinges on verifying that coders use the correct criteria. It is important to mention that the mainstay of coding is the use of a controlled vocabulary. A controlled vocabulary gives analysts a framework, or frame of reference, when converting qualitative information into categories ...

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 ...

New publication in BIOMETRIKA

New paper in Biometrika, co-authored by HRDAG's Kristian Lum and James Johndrow: Theoretical limits of microclustering in record linkage.

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.

Reflections: A Meaningful Partnership between HRDAG and Benetech

I joined the Benetech Human Rights Program at essentially the same time that HRDAG did, coming to Benetech from years of analyzing data for large companies in the transportation, hospitality and retail industries. But the data that HRDAG dealt with was not like the data I was familiar with, and I was fascinated to learn about how they used the data to determine "who did what to whom." Although some of the methodologies were similar to what I had experience with in the for-profit sector, the goals and beneficiaries of the analyses were very different. At Benetech, I was initially predominantly focused on product management for Martus, a free ...

Core Concepts

Inaccurate statistics can damage the credibility of human rights claims—and that's why we strive to ensure that statistics about human rights violations are generated with as much rigor and are as scientifically accurate as possible. But, what are the pitfalls leading to inaccuracy—when, where, and how do data become compromised? How are patterns biased by having only partial data? And what are the best scientific methods for collecting, managing, processing and analyzing data? Here are the data pitfalls that HRDAG has identified, as well as some of our approaches for meeting these challenges. We believe that human rights researchers must take ...

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 ...

Multiple Systems Estimation: The Basics

Multiple systems estimation, or MSE, is a family of techniques for statistical inference. MSE uses the overlaps between several incomplete lists of human rights violations to determine the total number of violations. In this blogpost, and four more to follow, I’ll answer both conceptual and practical questions about this important method. (In posts to follow, questions that refer to specific statistical procedures or debates will be marked, "In depth.") (more…)

Communiqué de presse, Tchad, January 2010

Une Nouvelle Etude Démontre qu’ Hissène Habré supervisait les Prisons de la Police Politique où des Milliers de Personnes Sont Décédées. 10ème Anniversaire de l’Inculpation de l’Ancien Dictateur Tchadien Janvier 29, 2010, N’Djaména, Tchad, Palo Alto, CA, Etats-Unis – A l’occasion du 10ème anniversaire de la première mise en accusation d’Hissène Habré au Sénégal, le Groupe d'Analyse des Données de Droits Humains de Benetech (GADDH) a réalisé une nouvelle étude qui démontre que l’ancien dictateur tchadien était bien informé des politiques et des pratiques de sa police politique. Cette étude pourrait s’avérer ...

Reflections: A Simple Plan

I got an email from my superheroic PhD adviser in June 2006: Would I be interested in relocating to Palo Alto for six months in order to work with Patrick Ball at the Human Rights Data Analysis Group? (She'd gotten a grant and would cover my stipend.) Since I'd spent the last several months in New Haven wrestling ineffectually with giant, brain-melting methodological problems, I said yes immediately. The plan with my adviser was simple: I'd digitize the ancient, multiply-photocopied pages of data from the United Nations Truth Commission for El Salvador, combine them with two other datasets, match across all the records, and produce reliable ...

Different Convenience Samples, Different Stories: The Case of Sierra Leone.


Making the Case: The Role of Statistics in Human Rights Reporting.

Patrick Ball. “Making the Case: The Role of Statistics in Human Rights Reporting.” Statistical Journal of the United Nations Economic Commission for Europe. 18(2-3):163-174. 2001.


Collecting Sensitive Human Rights Data in the Field: A Case Study from Amritsar, India.

Romesh Silva and Jasmine Marwaha. “Collecting Sensitive Human Rights Data in the Field: A Case Study from Amritsar, India.” In JSM Proceedings, Social Statistics Section. Alexandria, VA. © 2011 American Statistical Association. All rights reserved.


Calculating Body Counts


Calculating US police killings using methodologies from war-crimes trials

100x100-boingboing-logoCory Doctorow of Boing Boing writes about HRDAG director of research Patrick Ball’s article “Violence in Blue,” published March 4 in Granta. From the post: “In a must-read article in Granta, Ball explains the fundamentals of statistical estimation, and then applies these techniques to US police killings, merging data-sets from the police and the press to arrive at an estimate of the knowable US police homicides (about 1,250/year) and the true total (about 1,500/year). That means that of all the killings by strangers in the USA, one third are committed by the police.”


Views to a Kill: Exploring the Implications of Source Selection in the Case of Guatemalan State Terror, 1977-1996.

Christian Davenport and Patrick Ball. “Views to a Kill: Exploring the Implications of Source Selection in the Case of Guatemalan State Terror, 1977-1996.” Journal of Conflict Resolution 46(3): 427-450. 2002.


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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