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 ...
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El uso de información de cementerios en la búsqueda de los desaparecidos: lecciones de un estudio piloto en Rionegro, Antioquia, Colombia
Entre mayo y julio de 2009, investigadores del Grupo de Análisis de Datos de Derechos Humanos de Benetech (HRDAG por su sigla en inglés), condujeron un estudio piloto que examinó los patrones de la información sobre los cadáveres sin identificar en el cementerio de Rionegro, un municipio en el departamento de Antioquia, Colombia. El estudio se realizó en apoyo a los actuales esfuerzos de la organización socia de HRDAG, EQUITAS (Equipo Colombiano Interdisciplinario de Trabajo Forense y ...
Exploración y análisis de los datas para comprender la realidad. Patrick Ball y Michael Reed Hurtado. 2015. Forensis 16, no. 1 (July): 529-545. © 2015 Instituto Nacional de Medicina Legal y Ciencias Forenses (República de Colombia).
Upcoming Talks
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Past Talks
2015
Presentation on the research behind the Evaluation of the Kosovo Memory Book Database. National Archive, Pristina, Kosovo. Patrick Ball. February 4, 2015.
How do we know what we know? Patrick Ball. Arizona State University. January, 2015.
AAAS Science & Human Rights Coalition Meeting: Big Data & Human Rights. Megan Price, panelist. Washington, D.C. January 15-16, 2015.
Examining the Crisis in Syria: Conference Hosted by New America and Arizona State University’s Center on the Future of War and the Walter Cronkite School of Journalism and Mass Communication. Megan Price, panelist. Washingt...
“If you’re not careful, you risk automating the exact same biases these programs are supposed to eliminate,” says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was “learning” from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is “especially nefarious” because police can say: “We’re not being biased, we’re just doing what the math tells us.” And the public perception might be that the algorithms are impartial.
Welcome to the web data resource for the International Center for Human Rights Research (Centro Internacional para Investigaciones en Derechos Humanos, or CIIDH). Here you will find raw data on human rights violations in Guatemala during the period 1960-1996. You're welcome to use it for your own statistical analyses.
ASCII delimited (csv)
Resource Information
Data Dictionary
Value Labels
File Structure (Variables)
These files are between 300-700 kilobytes. The data are stored in a zipped compression format.
For an explanation of how the data are structured and what the variables represent, see the data dictionary.
If you use ...
IPFS is a peer-to-peer storage network that promotes the resiliency, immutability, and auditability of data. This README explains code written to shepherd the files from janky external USB drives to IPFS.
At HRDAG, 2021 was all about service and partnership.
Following a brutal 11-year civil war, the Parliament of Sierra Leone called for a Truth and Reconciliation Commission (TRC) to create "an impartial, historical record of the conflict", and "address impunity; respond to the needs of victims; promote healing and reconciliation; and prevent a repetition of the violations and abuses suffered." The full text of the TRC report is available on the Sierra Leone Web.
HRDAG assisted the TRC to build a systematic data coding system, electronic database, and secure data analysis process to manage the thousands of statements given to them in the course of their work. Dr. Ball visited Freetown twice, and HRDAG ...
“The model uses obvious predictor variables, Ball says, such as whether or not a drug lab has been busted in that county, or if the county borders the United States, or the ocean, but also includes less-obvious predictor variables such as the percentage of the county that is mountainous, the presence of highways, and the academic results of primary and secondary school students in the county.”
After almost two months of searching for the perfect fit, we’re very pleased to announce that Josh Shadlen has joined HRDAG as our new technical lead. Finding Josh was no easy feat. We were looking for what many people would call a “data scientist,” that is, someone with expertise in both computer science and statistics. These days, “data science” is one of the hottest fields out there.
Bringing the perfect mix of academic depth and thoughtful reflection, Josh stood out for us. With prior jobs including gigs at Silicon Valley startups and Twitter, he’s got high-level (more…)
HRDAG is delighted to announce five additions to our team: one new staff member, three summer interns, and one fellow.
HRDAG director of research Patrick Ball is quoted in this Nature article about how body counts are a crude measure of the war’s impact and more reliable estimates will take time to compile.
In this interview with Colombian newspaper El Espectador, Patrick Ball is quoted as saying “la gente que no conoce de álgebra nunca debería hacer estadísticas” (people who don’t know algebra should never do statistics).
Weapons of Math Destruction: invisible, ubiquitous algorithms are ruining millions of lives. Excerpt:
As Patrick once explained to me, you can train an algorithm to predict someone’s height from their weight, but if your whole training set comes from a grade three class, and anyone who’s self-conscious about their weight is allowed to skip the exercise, your model will predict that most people are about four feet tall. The problem isn’t the algorithm, it’s the training data and the lack of correction when the model produces erroneous conclusions.
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Assessing Claims of Declining Lethal Violence
In March 2007, HRDAG published a study entitled "Assessing Claims of Declining Lethal Violence in Colombia." The authors of this report evaluated assertions that violence in Colombia declined after the demobilization of paramilitaries. They showed that these claims rest both on the overinterpretation of unadjusted data and on unsound causal inferences. The authors concluded that multiple data sources are needed to estimate the true rates of violence in Colombia after demobilization and they suggest avenues for further research.
This research paper is also available in Spanish at ...
