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Violations de droits de l'homme par l'Etat tchadien sous le régime de Hissène Habré
[English]
Quels sont les principaux résultats de ce rapport?
Quelles violations de droits de l'homme commises dans les prisons de la DDS ont été prouvées?
Quelle preuve il y a t-il que Habré et la direction de la DDS étaient responsables pour ces violations de droits de l'homme?
D'où proviennent les documents internes de la DDS?
En quelle mesure l'analyse comprise dans le rapport contribue t-elle a l'affaire judiciaire Hissène Habré?
Est-ce que HRDAG donne des estimations concernant le nombre total de personnes tuées dans les prisons par la DDS - les ...
HRDAG’s funding comes from private, international donors: the John D. and Catherine T. MacArthur Foundation, Open Society Foundations, an anonymous U.S.-based private foundation, Ford Foundation, The National Endowment for Democracy and individual donors. This funding supports both specific projects, as well as our scientific work generally in human rights data analysis.
For the entirety of its existence, HRDAG has been a project of non-profit organizations, first at the American Association for the Advancement of Science (AAAS), and then at Benetech, a non-profit Silicon Valley technology company. In February 2013, HRDAG became ...
This post describes how we organize our work over ten years, twenty analysts, dozens of countries, and hundreds of projects: we start with a task. A task is a single chunk of work, a quantum of workflow. Each task is self-contained and self-documenting; I'll talk about these ideas at length below. We try to keep each task as small as possible, which makes it easy to understand what the task is doing, and how to test whether the results are correct.
In the example I'll describe here, I'm going to describe work from our Syria database matching project, which includes about 100 tasks. I'll start with the first thing we do with files we receive ...
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
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You may contact us directly via email at info @ hrdag.org.
A note for persons in search of assistance with specific human rights cases: We are very sorry for your troubles and your suffering; however, HRDAG does not take on casework. If you need help with a human rights case, you might consider requesting it from the International Committee of the Red Cross (www.icrc.org).
Photo: U.S. National Archives
I spent the two weeks over Easter working with Patrick and Megan in San Francisco, trying to figure out a strategy of how best to estimate the number of casualties the Syrian civil war has claimed in the past two years. In January, HRDAG published a report on the number of fully identified casualties reported in the Syrian Arab Republic between March 2011 and November 2012. The number of de-duplicated records of killings for this period was 59,648, a number that is likely to be an undercount since we know that many incidences of lethal violence in conflict go unreported, and that the unreported cases are not missing at random. (more…)
“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.
The primer addresses what pretrial risk assessment is and what the research supports.
We aim to produce code that is clear, replicatable across machines and operating systems, and that leaves an easy-to-follow audit trail.
Identifiers being sequential could make possible estimations of the population of detained children.
If this could be you, let us know. Also, please feel free to pass on this link to great people.
Job Title. Technical lead with a hacker's heart
Location. A cool office in SOMA, San Francisco. You need to be on-site with us.
What we do. The Human Rights Data Analysis Group (HRDAG) develops statistical techniques to measure human rights atrocities. Our work helps bring dictators to justice through data analysis of human rights atrocities around the world. Over more than 20 years, our small team has developed technology and statistical techniques to take disjoint, incomplete, and inaccurate information from conflict zones and process it to identify ...
Audrey Chapman and Patrick Ball. “The Truth of Truth Commissions: Comparative Lessons from Haiti, South Africa, and Guatemala.” Human Rights Quarterly. 23(4):1-42. 2001
Ten years ago, in July 2005, human rights officers stumbled upon a nondescript warehouse in a commercial zone of Guatemala City and changed history. They had discovered an archive–its existence kept secret–belonging to the Guatemalan National Police, whose officers committed human rights atrocities on behalf of the government during the civil war.
Inside the building was the bureaucratic detritus typical of a large government agency: 80 million pages detailing shifts worked, tasks assigned, assignments fulfilled, workers’ whereabouts, and who was supervising whom. The documents, which were found stacked on dirty floors, shoved into bags, ...
I got an email from my superheroic PhD adviser in June 2006: Would I be interested in relocating to Palo Alto for six months in order to work with Patrick Ball at the Human Rights Data Analysis Group? (She'd gotten a grant and would cover my stipend.) Since I'd spent the last several months in New Haven wrestling ineffectually with giant, brain-melting methodological problems, I said yes immediately.
The plan with my adviser was simple: I'd digitize the ancient, multiply-photocopied pages of data from the United Nations Truth Commission for El Salvador, combine them with two other datasets, match across all the records, and produce reliable ...
The Historic Archive of the Guatemalan National Police (hereafter the Archive) was discovered, quite by accident, in July 2005. Researchers immediately recognized both the importance and the fragility of the Archive's contents. As a result, in early 2006 the Archive team invited Patrick to evaluate the documents and help them answer a seemingly simple question: How can we learn about the contents of the Archive in a shorter period of time than is needed to systematically examine each individual document?
After inspecting the Archive, Patrick designed a multi-stage random sample of documents. In May 2006, Tamy Guberek, Daniel Guzmán, and ...
Tamy Guberek, Daniel Guzmán, Romesh Silva, Kristen Cibelli, Jana Asher, Scott Weikart, Patrick Ball, and Wendy Grossman. “Truth and Myth in Sierra Leone: An Empirical Analysis of the Conflict, 1991–2000″ (pdf). A report by the Benetech Human Rights Data Analysis Group and the American Bar Association. March 28, 2006.
Price, Megan, Jeff Klingner, Anas Qtiesh, and Patrick Ball. 2013. Commissioned by the United Nations Office of the High Commissioner for Human Rights (OHCHR). Human Rights Data Analysis Group (June 13). © 2013 HRDAG. Creative Commons BY-NC-SA. [pdf via UN]
On October 23, 2018, Patrick Ball keynoted at the Open Source Summit in Edinburgh, Scotland.