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Our Thoughts on the Violence in Charlottesville
This week, we join our friends and colleagues in feeling horrified by the violence in Charlottesville, Virginia. As we have for the past 26 years, we stand with the victims of violence and support human rights and dignity for all. We spend our careers observing and documenting mass political violence across the world. The demands by the so-called “alt-right” to normalize racism and social exclusion are all too familiar to us.
At HRDAG, our work is always guided by the Universal Declaration of Human Rights (UDHR). We reaffirm our commitment to these principles, in particular that the “recognition of the inherent dignity and of the equal and ...
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 ...
Primer to Inform Discussions about Bail Reform
The primer addresses what pretrial risk assessment is and what the research supports.
How Structuring Data Unburies Critical Louisiana Police Misconduct Data
In Louisiana, appeals for police disciplinary action are often buried in meeting minutes. HRDAG uses machine learning to extract, structure data and make it searchable..
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 ...
Celebrating our First Anniversary and Welcoming Our Newest Board Member
One year ago, HRDAG cast out on its own as an independent nonprofit—and this first year has been busy, productive, and exciting. We’re indebted to our Advisory Board for their valuable contributions and to our funders for their generosity and participation in our mission. Highlights of the past year include contributing testimony to three court cases, publishing two reports on conflict-casualties in Syria, presenting over a dozen talks (many of which are available on our talks page), traveling to over half a dozen countries to testify, collaborate with partners, and participate in conferences/workshops, hiring a new technical lead, and bringing in ...
Welcoming a New Board Member
As we get ready to begin our fourth year as an independent nonprofit, we are, as always, indebted to our Advisory Board and to our funders for their support and vision. We’re finishing up a busy year that took us to Dakar (for the trial of former Chadian dictator Hissène Habré), Pristina (for the release of the Kosovo Memory Book), Colombia (for work on a book about the Guatemalan Police Archives), and kept us busy here at home working on police violence statistics. But one of our biggest victories has been to score a new, talented, wise Advisory Board member—Michael Bear Kleinman, whom we first met when he was working with Humanity United.
...
Using Machine Learning to Help Human Rights Investigators Sift Massive Datasets
How we built a model to search hundreds of thousands of text messages from the perpetrators of a human rights crime.
Changes at HRDAG
A special announcement from the HRDAG Advisory Board:
Beginning officially on December 1, HRDAG is changing leadership. After nearly three years as Executive Director, Patrick Ball will become the new Director of Research. Megan Price will be the new Executive Director.
Patrick has spent more than 25 years working at the intersection of human rights and statistical science. Over that time, he has finely honed statistical methodology for quantifying mass killings. Now he is excited about the chance to go deeper into research for HRDAG and develop additional approaches for new problems. In his new role, Patrick will focus more on technical coding ...
About HRDAG
We are non-partisan—we do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and other international human rights treaties and instruments.
Where Stats and Rights Thrive Together
Everyone I had the pleasure of interacting with enriched my summer in some way.
Reflections: The G in HRDAG is the Real Fuel
It took me a while to realize I had become part of the HRDAG incubator—at least that’s what it felt like to me—for young data analysts who wanted to use statistical knowledge to make a real impact on human rights debates.
Letter from Alejandro Valencia Villa
Alejandro Valencia Villa is a Former Commissioner of the Colombian Truth Commission. (Letter in English, and letter in Spanish.)
Introduction
One of the most obvious and most difficult questions to answer when analyzing an armed conflict is determining the number of victims. In a conflict like Colombia’s, prolonged and with complex characteristics due to the different nature of the armed actors and because they committed a great variety and quantity of human rights violations and breaches of humanitarian law, the challenge is even greater. As if this were not enough, Colombia also had a large number of records of these violations and infract...
Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation
"Revolution Analytics will allow HRDAG to handle bigger data sets and leverage the power of R to accomplish this goal and uncover the truth." Director of Research Megan Price is quoted.
REVOLUTION ANALYTICS
Press release
February 4, 2014
Link to press release
Back to Press Room
Palantir Has Secretly Been Using New Orleans to Test Its Predictive Policing Technology
One of the researchers, a Michigan State PhD candidate named William Isaac, had not previously heard of New Orleans’ partnership with Palantir, but he recognized the data-mapping model at the heart of the program. “I think the data they’re using, there are serious questions about its predictive power. We’ve seen very little about its ability to forecast violent crime,” Isaac said.
Celebrating Women in Statistics
In her work on statistical issues in criminal justice, Lum has studied uses of predictive policing—machine learning models to predict who will commit future crime or where it will occur. In her work, she has demonstrated that if the training data encodes historical patterns of racially disparate enforcement, predictions from software trained with this data will reinforce and—in some cases—amplify this bias. She also currently works on statistical issues related to criminal “risk assessment” models used to inform judicial decision-making. As part of this thread, she has developed statistical methods for removing sensitive information from training data, guaranteeing “fair” predictions with respect to sensitive variables such as race and gender. Lum is active in the fairness, accountability, and transparency (FAT) community and serves on the steering committee of FAT, a conference that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems.
Middle East
Syria
Liberian Truth and Reconciliation Commission Data
In July 2009, The Human Rights Data Analysis Group concluded a three-year project with the Liberian Truth and Reconciliation Commission to help clarify Liberia’s violent history and hold perpetrators of human rights abuses accountable for their actions. In the course of this work, HRDAG analyzed more than 17,000 victim and witness statements collected by the Liberian Truth and Reconciliation Commission and compiled the data into a report entitled “Descriptive Statistics From Statements to the Liberian Truth and Reconciliation Commission.”
Liberian TRC data and the accompanying data dictionary
anonymized-statgivers.csv contains information ...
Beautiful game, ugly truth?
Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702
Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702