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Why raw data doesn't support analysis of violence

This morning I got a query from a journalist asking for our data from the report we published yesterday. The journalist was hoping to create an interactive infographic to track the number of deaths in the Syrian conflict over time. Our data would not support an analysis like the one proposed, so I wrote this reply. We can't send you these data because they would be misleading—seriously misleading—for the purpose you describe. Here's why: What we have is a list of documented deaths, in essence, a highly non-random sample, though a very big one. We like bigger samples because we think that they must be closer to true. The mathematical justificat...

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.

Human Rights and the Decentralized Web

Our partners were eager to learn and talk about emerging decentralized technology.

Emeritus Advisers

We are grateful to our past advisers for their contributions to HRDAG. Advisory Board Audrey Chapman, Healey Chair in Medical Humanities and Bioethics, University of Connecticut 2013-2014 (one-year term)

Clustering and Solving the Right Problem

In our database deduplication work, we’re trying to figure out which records refer to the same person, and which other records refer to different people. We write software that looks at tens of millions of pairs of records. We calculate a model that assigns each pair of records a probability that the pair of records refers to the same person. This step is called pairwise classification. However, there may be more than just one pair of records that refer to the same person. Sometimes three, four, or more reports of the same death are recorded. So once we have all the pairs classified, we need to decide which groups of records refer to the ...

Happy Ada Lovelace Day!

As an organization that uses science to advocate for human rights, the goals and issues represented by Ada Lovelace Day are very near and dear to our hearts.  Additionally, we are lucky to work with and be advised by some pretty kick-ass ladies in STEM (see our People page to learn more about these amazing women (and men)). I brainstormed a list of women I could write about, as Finding Ada suggests we celebrate today by blogging about a STEM heroine.  I considered Anita Borg (she has her own institute!), who advocated tirelessly for women in computer science.  I thought about Sally Wyatt, keynote speaker and organizer of the fascinating workshop...

BJS Report on Arrest-Related Deaths: True Number Likely Much Greater

(This post is co-authored by Patrick Ball and Kristian Lum.) Today the Bureau of Justice Statistics (BJS) released a report on their effort to document “all deaths that occur during the process of arrest in the United States.” The analysis estimates that the Arrest-Related Deaths (ARD) program covers only 34-49% of these deaths. A parallel program by the FBI (the Supplementary Homicide Reports, SHR) is estimated to cover approximately the same proportion of deaths. Even taking into consideration both programs, 28% of all police homicides remain unreported. In order to estimate the total number of homicides that appear on neither the ARD or ...

Can the Armed Conflict Become Part of Colombia’s History?

Paula Amado and María Juliana Durán Fedullo reflect on how the Truth Commission may change Colombia’s history, finally officially acknowledging the 50-year conflict and its casualties, and reckoning with who did what to whom.

How Predictive Policing Reinforces Bias

Algorithmic tools like PredPol were supposed to reduce bias. But HRDAG has found that racial bias is baked into the data used to train the tools.

Learning a Modular, Auditable and Reproducible Workflow

The modular nature of the workflow and use of Git allowed us to work on different parts of the project from across the country.

Benetech’s Human Rights Data Analysis Group Publishes 2010 Analysis of Human Rights Violations in Five Countries,

Analysis of Uncovered Government Data from Guatemala and Chad Clarifies History and Supports Criminal Prosecutions
By Ann Harrison
The past year of research by the Benetech Human Rights Data Analysis Group (HRDAG) has supported criminal prosecutions and uncovered the truth about political violence in Guatemala, Iran, Colombia, Chad and Liberia. On today’s celebration of the 62nd anniversary of the Universal Declaration of Human Rights, HRDAG invites the international community to engage scientifically defensible methodologies that illuminate all human rights violations – including those that cannot be directly observed. 2011 will mark the 20th year that HRDAG researchers have analyzed the patterns and magnitude of human rights violations in political conflicts to determine how many of the killed and disappeared have never been accounted for – and who is most responsible.


Reflections: Pivotal Moments in Freetown

The summer of 2002 in Washington, DC, was steamy and hot, which is how I remember my introduction to HRDAG. I had begun working with them, while they were still at AAAS, in the late spring, learning all about their core concepts: duplicate reporting and MSE, controlled vocabularies, inter-rater reliability, data models and more. The days were long, with a second shift more often than not running late into the evening. In addition to all the learning, I also helped with matching for the Chad project – that is, identifying multiple records of the same violation – back when matching was done by hand. But it was not long after I arrived in Washington ...

HRDAG and #GivingTuesday 2017

Help us hold human rights violators accountable!

Police Accountability in Chicago: from Data Dump to Usable Data

HRDAG is helping the Invisible Institute turn their windfall of raw data about police misconduct into data that can be analyzed.

In Solidarity

We stand with our partners and every organizer fighting for justice.

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.

Syria 2012 – Modeling Multiple Datasets in an Ongoing Conflict

The struggle between Syrian President Bashar al-Assad's regime and opposition forces has generated extensive global press coverage, but few accurate estimates of casualties. In January 2013, the United Nations Office of the High Commissioner for Human Rights (OHCHR) released a report on the number of conflict-related killings in Syria. The UN report is based on statistical analysis conducted by HRDAG scientists Megan Price, Jeff Klingner and Patrick Ball. This chapter examines HRDAG’s findings which compared information from a database collected by the Syrian government with six databases compiled by Syrian human rights activists and citizen ...

Social Science Scholars Award for HRDAG Book

In March 2013, I entered a contest called the California Series in Public Anthropology International Competition, which solicits book proposals from social science scholars who write about how social scientists create meaningful change. The winners of the Series are awarded a publishing contract with the University of California Press for a book targeted to undergraduates. With the encouragement of my HRDAG colleagues Patrick Ball and Megan Price, I proposed a book about the work of HRDAG researchers entitled, Everybody Counts: How Scientists Document the Unknown Victims of Political Violence. Earlier this month, I was contacted by the Series judges ...

Data Analysis By Benetech Scientists Aid in Arrest of Former Guatemalan Police Chief


Benetech Statistical Analysis Provides Key Evidence in Conviction of Former Guatemalan Police Officers Testimony From Daniel Guzmán Helps Establish Legal Precedent for Prosecution of Forced Disappearances


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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