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El Salvador

Some of the earliest large-scale human rights information projects happened in El Salvador. One was developed by Patrick Ball at the Salvadoran non-governmental Human Rights Commission, also known as Comision de Derechos Humanos de El Salvador (CDHES-ng). Between 1977 and 1990, more than 9,000 testimonies were taken in an effort to document the nature and scope of the bloody conflict between the army and the Farabundo Marti National Liberation Front (FMLN). Starting in 1991, Patrick worked with CDHES staff to organize the information in an early computer database. They linked reported human rights violations with the career structures of individual ...

Reflections: Minding the Gap

How might we learn what we don’t know? HRDAG associate Christine Grillo hits the wayback machine and recalls her first exposure to People Against Bad Things, ideas about bias and correlation versus causation, and truth.

HRDAG’s Year in Review: 2021

At HRDAG, 2021 was all about service and partnership.

500 Tamils disappeared in Army custody — New Study

The Sri Lankan army must explain to the families of the disappeared and missing what happened to an estimated 500 Tamils who disappeared in their custody at the war end on/around 18 May 2009, said two international NGOs who have been collating and analysing lists of names.

Sri Lanka has one of the largest numbers in the world of enforced disappearances but these 500 represent the largest number of disappearances all in one place and time in the country. For a detailed account of the process of estimating the 500 please see: “How many people disappeared on 17-19 May 2009 in Sri Lanka?” .

Political Killings in Kosovo, March–June, 1999

Political Killings in Kosovo, March–June, 1999. American Association for the Advancement of Science, Science and Human Rights Program. © 2000 American Bar Association Central and East European Law Initiative.

Data Archaeology for Human Rights in Central America: HRDAG Collaborates with UWCHR

Patrick Ball is kicking himself for a decision he made almost 25 years ago. “I was clever, but I wasn’t smart,” he says ruefully, as he considers the labyrinth of tables and ASCII-encoded keystrings he used to design a database of human rights violations for the pioneering Salvadoran non-governmental Human Rights Commission (CDHES). Now I’m sitting in his office in San Francisco’s Mission District watching over his shoulder, and trying to keep up, as he bangs out code to decipher the priceless data contained in these old files. Created in 1991 and 1992, during the last days of El Salvador’s internal armed conflict, the files detail ...

Reflections: The People Who Make the Data

HRDAG associate Miguel Cruz has an epiphany. All those data he’s drowning in? Each datapoint is a personal tragedy, a story both dark and urgent, and he’s privileged to have access.

Bangladesh

In December 2006, Human Rights Watch (HRW) issued a report documenting torture and unlawful killings committed by Bangladesh's Rapid Action Battalion (RAB), an elite anti-crime and anti-terrorism force. According to HRW, many of the deaths for which RAB is responsible resulted from summary executions or extreme physical abuse. The statistical analysis presented in the report, "Judge, Jury, and Death: Torture and Executions by Bangladesh's Elite Security Force," was conducted by Romesh Silva, a statistician who worked within the Benetech Human Rights Program at the time, and who now works with HRDAG. While researching these incidents, HRW compiled ...

Reflections on Data Science for Real-World Problems

Trina Reynolds-Tyler's internship at HRDAG helped her use data science to find patterns in state-sanctioned violence.

The ‘Dirty War Index’ and the Real World of Armed Conflict.

Amelia Hoover, Romesh Silva, Tamy Guberek, and Daniel Guzmán. “The ‘Dirty War Index’ and the Real World of Armed Conflict.” May 23, 2009. © 2009 HRDAG. Creative Commons BY-NC-SA.

Learning to Learn: Reflections on My Time at HRDAG

So much of what I learned at HRDAG was intangible, and I'm grateful to have been able to go deep.

Counting The Dead: How Statistics Can Find Unreported Killings

Ball analyzed the data reporters had collected from a variety of sources – including on-the-ground interviews, police records, and human rights groups – and used a statistical technique called multiple systems estimation to roughly calculate the number of unreported deaths in three areas of the capital city Manila.

The team discovered that the number of drug-related killings was much higher than police had reported. The journalists, who published their findings last month in The Atlantic, documented 2,320 drug-linked killings over an 18-month period, approximately 1,400 more than the official number. Ball’s statistical analysis, which estimated the number of killings the reporters hadn’t heard about, found that close to 3,000 people could have been killed – more than three times the police figure.

Ball said there are both moral and technical reasons for making sure everyone who has been killed in mass violence is counted.

“The moral reason is because everyone who has been murdered should be remembered,” he said. “A terrible thing happened to them and we have an obligation as a society to justice and to dignity to remember them.”

Unveiling Statistical Invisibility: The Structural Racism of the War on Drugs, its Impact on Social Inequalities, and the Need for Citizen Data Empowerment in Latin America

Cecilia Olliveira, Patrick Ball, Dayana Blanco, Eduardo Ribeiro, Juliana Borges, Maria Isabel Couto, Nathália Oliveira (2024)."Unveiling Statistical Invisibility: The Structural Racism of the War on Drugs, its Impact on Social Inequalities, and the Need for Citizen Data Empowerment in Latin America." T20 Brasil. September 2024.

Cecilia Olliveira, Patrick Ball, Dayana Blanco, Eduardo Ribeiro, Juliana Borges, Maria Isabel Couto, Nathália Oliveira (2024).”Unveiling Statistical Invisibility: The Structural Racism of the War on Drugs, its Impact on Social Inequalities, and the Need for Citizen Data Empowerment in Latin America.” T20 Brasil. September 2024.

HRDAG’s Year in Review: 2020

In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.

HRDAG’s Year End Review: 2019

In 2019, HRDAG aimed to count those who haven't been counted.

Archivists Can Be At the Heart of Accountability and Justice

HRDAG is hiring – technical lead

If this could be you, let us know. Also, please feel free to pass on this link to great people. Job Title. Technical lead with a hacker's heart Location. A cool office in SOMA, San Francisco. You need to be on-site with us. What we do. The Human Rights Data Analysis Group (HRDAG) develops statistical techniques to measure human rights atrocities. Our work helps bring dictators to justice through data analysis of human rights atrocities around the world. Over more than 20 years, our small team has developed technology and statistical techniques to take disjoint, incomplete, and inaccurate information from conflict zones and process it to identify ...

Datasets available for research

Over the last few years, we've tried to make the data organized in our projects publicly accessible. We have encouraged our partners to publish the data at the completion of the project. We continue to believe it is important to offer access to the data used in our projects for the sake of transparency as well as to encourage further research and analysis. However, we are increasingly concerned about how raw data are used. Data collected by what we can observe is what statisticians call a convenience sample, which is subject to selection bias. We're keeping these datasets available for researchers who want to use them for simulation or estimation ...

HRDAG Welcomes Two New Scholars

Paula Amado has joined as a Research Scholar, and María Juliana Durán Fedullo has joined as a Visiting Scholar.

Data ‘hashing’ improves estimate of the number of victims in databases

But while HRDAG’s estimate relied on the painstaking efforts of human workers to carefully weed out potential duplicate records, hashing with statistical estimation proved to be faster, easier and less expensive. The researchers said hashing also had the important advantage of a sharp confidence interval: The range of error is plus or minus 1,772, or less than 1 percent of the total number of victims.

“The big win from this method is that we can quickly calculate the probable number of unique elements in a dataset with many duplicates,” said Patrick Ball, HRDAG’s director of research. “We can do a lot with this estimate.”

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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