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El Salvador 1991 – Who Did What To Whom?
Members of the Salvadoran military committed tens of thousands of killings during the country’s civil war which raged from the late 1970’s until 1990. While working for a peace organization in El Salvador in 1991, Patrick Ball was asked by a colleague at a human rights group to help organize a large collection of human rights testimonies. Trained as a social scientist, Ball created the “Who Did What To Whom” (WTWTW) model for examining human rights data. Ball used this system to create a structured, relational database of violations reported in more than 9,000 testimonies to the Salvadoran Human Rights Commission.
To determine who was most ...
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.
Reflections: Challenging Tasks and Meticulous Defenders
I have made it my personal objective to amplify HRDAG's message of being extra careful and scientifically rigorous with human rights data.
Killings of Social Movement Leaders in Colombia
Using multiple system estimation, we estimate the total population of social movement leaders killed in Colombia during 2018.
Reflections: A Love Letter to HRDAG
On the anniversary of the Universal Declaration of Human Rights, HRDAG executive director Megan Price tells us why she loves her work, and why she feels hopeful about the future.
Africa
Chad
Liberia
Sierra Leone
South Africa
HRDAG Retreat 2022
A week in the California redwoods amongst a hodgepodge of people united by their passion for using quantitative analysis to combat injustice.
Mortality in the DDS Prisons in Chad, 1985–1988
Patrick Ball (2014). Human Rights Data Analysis Group. August 22, 2014. © 2014 HRDAG. Creative Commons BY-NC-SA.
Rionegro
Texto en Español
Using Cemetery Information to Search for the Disappeared Lessons from a Pilot Study in Rionegro, Antioquia, Colombia
Between May and July 2009, researchers from the Benetech Human Rights Data Analysis Group (HRDAG) conducted a pilot study to examine patterns of information about unidentified bodies at a cemetery in Rionegro, a town located Antioquia, Colombia. The study was carried out to support ongoing efforts by HRDAG's partner organization EQUITAS (Colombian Interdisciplinary Team for Forensic Work and Psychosocial Assistance) to identify bodies of unknown persons in the Rionegro cemetery. EQUITAS has found that cemeteries in ...
Overbooking’s Impact on Pre-Trial Risk Assessment Tools
How do police officer booking decisions affect tools relied upon by judges?
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 ...
Where Stats and Rights Thrive Together
Everyone I had the pleasure of interacting with enriched my summer in some way.
IN THE FACE OF TYRANNY
Taking a Stand as Data Scientists
As human rights data analysts, we center our moral understanding on the values of the Universal Declaration of Human Rights. We believe that “recognition of the inherent dignity and of the equal and inalienable rights of all members of the human family is the foundation of freedom, justice and peace in the world,” as the Declaration’s preamble states. This is our guide, and these are our values. For thirty-five years, this has meant using our skills as statisticians and programmers to help other people in their campaigns for truth and justice.
When a doctor sees a sick or injured ...
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
Convenience Samples: What they are, and what they should (and should not) be used for
As noted on our Core Concepts page, we spend a lot of time worrying about the ways data are used to make claims about human rights violations. This is because inaccurate statistics can damage the credibility of human rights claims. Analyses of records of human rights violations are used to guide policy decisions, determine resource allocation for interventions, and inform transitional justice mechanisms. It is vital that such analyses are accurate.
Unfortunately, all too often these decisions are based, inappropriately, on analyses of a single convenience sample. (more…)
A Definition of Database Design Standards for Human Rights Agencies.
/wp-content/uploads/2013/01/Definition_of_Database_Design_Standards_1994.pdf
Patrick Ball. “A Definition of Database Design Standards for Human Rights Agencies.” © 1994 American Association for the Advancement of Science. [pdf]
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 ...
