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Predictive Policing Reinforces Police Bias

Issues surrounding policing in the United States are at the forefront of our national attention. Among these is the use of “predictive policing,” which is the application of statistical or machine learning models to police data, with the goal of predicting where or by whom crime will be committed in the future. Today Significance magazine published an article on this topic that I co-authored with William Isaac. Significance has kindly made this article open access (free!) for all of October. In the article we demonstrate the mechanism by which the use of predictive policing software may amplify the biases that already pervade our criminal ...

Violence in Blue: The 2020 Update

HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.

HRDAG’s Year in Review: 2021

At HRDAG, 2021 was all about service and partnership.

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 ...

Drug-Related Killings in the Philippines

HRDAG analysis shows that the government figures are a gross underestimation of the drug-related killings in the Philippines.

SermonNew death toll estimated in Syrian civil war

Kevin Uhrmacher of the Washington Post prepared a graph that illustrates reported deaths over time, by number of organizations reporting the deaths.


State Violence in Guatemala, 1960-1996: A Quantitative Reflection

Patrick Ball, Paul Kobrak, Herbert F. Spirer. State Violence in Guatemala, 1960-1996: A Quantitative Reflection. © 1999 American Association for the Advancement of Science. [pdf – english] [pdf – español]


HRDAG Welcomes Two New Scholars

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

‘Bias deep inside the code’: the problem with AI ‘ethics’ in Silicon Valley

Kristian Lum, the lead statistician at the Human Rights Data Analysis Group, and an expert on algorithmic bias, said she hoped Stanford’s stumble made the institution think more deeply about representation.

“This type of oversight makes me worried that their stated commitment to the other important values and goals – like taking seriously creating AI to serve the ‘collective needs of humanity’ – is also empty PR spin and this will be nothing more than a vanity project for those attached to it,” she wrote in an email.


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 ...

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, ...

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…)

Tech Corner

The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. Click the accordion blocks below to reveal each of the Tech Corner entries. Sifting Massive Datasets with Machine Learning Principled Data Processing  

Press Release, Timor-Leste, February 2006

SILICON VALLEY GROUP USES TECHNOLOGY TO HELP THE TRUTH COMMISSION ANSWER DISPUTED QUESTIONS ABOUT MASSIVE POLITICAL VIOLENCE IN TIMOR-LESTE Palo Alto, CA, February 9, 2006 – The Benetech® Initiative today released a statistical report detailing widespread and systematic violations in Timor-Leste during the period 1974-1999. Benetech's statistical analysis establishes that at least 102,800 (+/- 11,000) Timorese died as a result of the conflict. Approximately 18,600 (+/- 1000) Timorese were killed or disappeared, while the remainder died due to hunger and illness in excess of what would be expected due to peacetime mortality. The magnitude of deaths ...

HRDAG and #GivingTuesday 2018

Will you help HRDAG advance human rights?

Welcoming Our 2019 Visiting Analyst

Valentina Rozo Ángel has joined our team as our new visiting analyst this fall.

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.


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.

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?” .


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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