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“Surmortalité carcérale” sous Habré

Le statisticien américain Patrick Ball, expert au procès de Hissène Habré, a déclaré vendredi que le taux de mortalité d’opposants tchadiens présumés dans les prisons du régime Habré était encore pire que celui des prisonniers de guerre américains dans les camps japonais.


How Pretrial Risk Assessment Tools Perpetuate Unfairness

Tools like Compas allegedly help judges predict future criminal activities and eliminate bias. HRDAG and partners showed how the tools recycle bias.

Making Missing Data Visible in Colombia

Valentina Rozo Ángel has worked with HRDAG and the Colombian Truth Commission to acknowledge victims of the 50-year conflict who are not visible or easily counted.

Syria’s celebrations muted by evidence of torture in Assad’s notorious prisons

The Human Rights Data Analysis Group, an independent scientific human rights organization based in San Francisco, has counted at least 17,723 people killed in Syrian custody from 2011 to 2015 — around 300 every week — almost certainly a vast undercount, it says.


Update on Work in Guatemala and the AHPN

HRDAG has sampled and analyzed documents at Guatemala's AHPN and has testified against war criminals based on that analysis.

Announcing New HRDAG Advisory Board Member

Elizabeth Eagen of the Citizens and Technology Lab at Cornell University will expand the HRDAG advisory board.

Las cifras de la CVR en el 2019

Las estimaciones se estratificaron por ubicación y perpetrador.

Counting The Dead: How Statistics Can Find Unreported Killings

Ball analyzed the data reporters had collected from a variety of sources – including on-the-ground interviews, police records, and human rights groups – and used a statistical technique called multiple systems estimation to roughly calculate the number of unreported deaths in three areas of the capital city Manila.

The team discovered that the number of drug-related killings was much higher than police had reported. The journalists, who published their findings last month in The Atlantic, documented 2,320 drug-linked killings over an 18-month period, approximately 1,400 more than the official number. Ball’s statistical analysis, which estimated the number of killings the reporters hadn’t heard about, found that close to 3,000 people could have been killed – more than three times the police figure.

Ball said there are both moral and technical reasons for making sure everyone who has been killed in mass violence is counted.

“The moral reason is because everyone who has been murdered should be remembered,” he said. “A terrible thing happened to them and we have an obligation as a society to justice and to dignity to remember them.”


Data Archaeology for Human Rights in Central America: HRDAG Collaborates with UWCHR

Patrick Ball is kicking himself for a decision he made almost 25 years ago. “I was clever, but I wasn’t smart,” he says ruefully, as he considers the labyrinth of tables and ASCII-encoded keystrings he used to design a database of human rights violations for the pioneering Salvadoran non-governmental Human Rights Commission (CDHES). Now I’m sitting in his office in San Francisco’s Mission District watching over his shoulder, and trying to keep up, as he bangs out code to decipher the priceless data contained in these old files. Created in 1991 and 1992, during the last days of El Salvador’s internal armed conflict, the files detail ...

Policing

If you'd like to support HRDAG in this project, please consider making a donation via Our Donate page. Over the last year, HRDAG has deepened the national conversation about homicides by police, predictive policing software, and the role that bail plays in the criminal justice system. Our studies describe how the racial bias inherent in police practice becomes data input to predictive policing tools. In another project, we are shining light on the iniquities of bail decisions. TEAM Click each team member's photo for full bio. Here's the team on Twitter. Examining the Impact of Bail When a defendant is detained before trial, she will face ...

.Rproj Considered Harmful

We aim to produce code that is clear, replicatable across machines and operating systems, and that leaves an easy-to-follow audit trail.

HRDAG Retreat 2018

What follows is an elaborate criss-crossing of collaborations—retreat is a time to embrace the productivity that comes with being in the same room.

Verdad al acecho (The Truth Is Stalking)


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 ...

Guatemala: Access to Archives Sheds Light on Case of Forced Disappearance


Counting the Dead in Sri Lanka

ITJP and HRDAG are urging groups inside and outside Sri Lanka to share existing casualty lists.

Multiple Systems Estimation: Collection, Cleaning and Canonicalization of Data

<< Previous post: MSE: The Basics Q3. What are the steps in an MSE analysis? Q4. What does data collection look like in the human rights context? What kind of data do you collect? Q5. [In depth] Do you include unnamed or anonymous victims in the matching process? Q6. What do you mean by "cleaning" and "canonicalization?" Q7. [In depth] What are some of the challenges of canonicalization? (more…)

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.

In Pursuit of Excellent Data Processing

With help from HRDAG, Roman Rivera built the data backbone for the Invisible Institute's Citizens Police Data Project.

Measuring the Mortality Consequences of Armed Conflict in Amritsar, India: A New Approach to the Indirect Sampling of Conflict-Related Mortality

Romesh Silva and Jeff Klingner. “Measuring the Mortality Consequences of Armed Conflict in Amritsar, India: A New Approach to the Indirect Sampling of Conflict-Related Mortality.” Poster presented at the Population Association of America 2011 Annual Meeting. © 2011 Benetech. Creative Commons BY-NC-SA.


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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