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Las cifras de la CVR en el 2019
Las estimaciones se estratificaron por ubicación y perpetrador.
Direct procès Habré: le taux de mortalité dans les centres de détention, au menu des débats
Statisticien, Patrick Ball est à la barre ce vendredi matin. L’expert est entendu sur le taux de mortalité dans les centres de détention au Tchad sous Habré. Désigné par la chambre d’accusation, il dira avoir axé ses travaux sur des témoignages, des données venant des victimes et des documents de la DDS (Direction de la Documentation et de la Sécurité).
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.
Kosovo Data – Killings, Migrations and More
Much of the debate about the March–June 1999 war between NATO and Yugoslavia turned on how many people left their homes in particular places and at certain times. Solid information about the flow of refugees out of Kosovo has helped investigators to link patterns in the flow to patterns of NATO bombing, Yugoslav strategic plans for "cleansing" Kosovo, and Yugoslav and irregular troop deployments. At its heart, the debate was about whether refugees left their homes fleeing NATO attacks and fighting between the KLA and Yugoslav forces, or whether they left their homes after being threatened, assaulted, and robbed by Yugoslav police, army, and irregu...
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 ...
Quantitative Research at the AHPN Guatemala
In early 2006 I joined the Historical Archive of the National Police (Archivo Histórico de la Policía Nacional, or AHPN) without knowing the impact it would have on my future. I started with cleaning, organizing and classifying documents—and learning, with other colleagues, what a historical archive is and how it works.
By April of that year, parallel to these learning processes, I was selected along with 20 other people to begin work on the challenging Quantitative Research project. I started as a "coder," transferring key content from documents into a database. (more…)
Applications of Multiple Systems Estimation in Human Rights Research
Lum, Kristian, Megan Emily Price, and David Banks. 2013. The American Statistician 67, no. 4: 191-200. doi: 10.1080/00031305.2013.821093. © 2013 The American Statistician. All rights reserved. [free eprint may be available].
Celebrating Ten Years of Data from the AHPN
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, ...
HRDAG and #GivingTuesday 2017
Help us hold human rights violators accountable!
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.
FAQ about the JEP-CEV-HRDAG data integration and statistical estimation project
1. Is there a single source of information about the victims of the armed conflict in Colombia?
No. Colombia has an extensive documentation process for victims of the armed conflict. Hundreds of institutions, victims' organizations, and civil society organizations have focused their efforts on recording this information. However, each entity or organization develops their documentation process with its own limitations related to technical, logistical, social, and missionary capacities. No entity or organization is able to document the complete universe of victims. This is because it is impossible for them to reach every part of the country, ...
Sri Lanka
Ten years after the war ended in Sri Lanka, we still don’t know to the nearest ten thousand how many people perished. The estimates for the death toll for the last five months of the war alone vary between 7000 and 147,000. In 2011, the UN said it thought approximately 40,000 civilians had died; then in 2012 an internal UN report estimated it was at least 70,000. Population data from World Bank and UN sources indicated that more than 100,000 Tamils living in the conflict areas in the north have not returned home after the war.
HRDAG has provided technical assistance to a broad range of non-governmental human rights organizations in Sri ...
Remembering Scott Weikart
HRDAG’s core values all have a connection to Scott Weikart, 1951–2023.
How to Become a Data Scientist: My Lessons at HRDAG
I will use the skills and culture I learned from HRDAG’s team to understand how the conflict has affected the people in my country.
HRDAG Report on Disappeared Tamils in Army Custody in Sri Lanka
HRDAG has published a report about the 500 Tamils who disappeared while in Army custody in Sri Lanka in 2009.
A Universal Declaration of a Few Data Rights
Today we celebrate the 65th anniversary of the Universal Declaration of Human Rights, which was adopted by the UN General Assembly on 10 December 1948. At HRDAG, we are non-partisan: we do not favor any party or government in conflicts. But we are not neutral: we are always in favor of human rights. We believe in the power and value of data; as we see it, data distills human actions and existence, all of which have power and value. With this in mind, we propose these seven articles that comprise our declaration of a few data rights (click through the links for some examples).
Preamble
Whereas data represents the suffering of human beings,
Whereas ...
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…)
Transitional Justice in Syria: Accountability and Reconciliation Conference
I spent last weekend in Istanbul at an excellent conference organized by the Syrian Center for Political and Strategic Studies (SCPSS). The conference included numerous non-governmental organizations (NGOs) from Syria as well as international human rights researchers and advocates. Families of victims told their stories, data collection groups discussed the challenges, and need, to document violations, transitional justice experts worried about infrastructure such as the police force and judicial system, and local leaders pledged to work together for peace.
I was invited to speak about HRDAG's recent report examining killings in Syria documented by ...
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