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The struggle between Syrian President Bashar al-Assad's regime and opposition forces has generated extensive global press coverage, but few accurate estimates of casualties. In January 2013, the United Nations Office of the High Commissioner for Human Rights (OHCHR) released a report on the number of conflict-related killings in Syria. The UN report is based on statistical analysis conducted by HRDAG scientists Megan Price, Jeff Klingner and Patrick Ball. This chapter examines HRDAG’s findings which compared information from a database collected by the Syrian government with six databases compiled by Syrian human rights activists and citizen ...
In March 2013, I entered a contest called the California Series in Public Anthropology International Competition, which solicits book proposals from social science scholars who write about how social scientists create meaningful change. The winners of the Series are awarded a publishing contract with the University of California Press for a book targeted to undergraduates. With the encouragement of my HRDAG colleagues Patrick Ball and Megan Price, I proposed a book about the work of HRDAG researchers entitled, Everybody Counts: How Scientists Document the Unknown Victims of Political Violence. Earlier this month, I was contacted by the Series judges ...
2021 Rafto Prize Videos
.ugb-8203b62 .ugb-video-popup__wrapper{height:460px !important;background-color:#000000;background-image:url(https://hrdag.org/wp-content/uploads/2022/12/Screen-Shot-2022-12-09-at-3.41.30-PM.png)}.ugb-8203b62 .ugb-video-popup__wrapper:before{background-color:#000000;opacity:0.3}.ugb-8203b62 .ugb-video-popup__wrapper:hover:before{opacity:0.6}.ugb-8203b62 .ugb-block-title{color:#ffffff}.ugb-8203b62 .ugb-block-description{color:#ffffff}@media screen and (max-width:768px){.ugb-8203b62 .ugb-video-popup__wrapper{height:208px !important}}The Rafto Prize 2021 | Rafto Foundation Rafto Foundation | HRDAG team | 2021 | 4 min
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Huffington Post Politics writer Matt Easton interviews Patrick Ball, executive director of HRDAG, about the latest enumeration of killings in Syria. As selection bias is increasing, it becomes harder to see it: we have the "appearance of perfect knowledge, when in fact the shape of that knowledge has not changed that much," says Patrick. "Technology is not a substitute for science."
Huffington Post Politics
Matt Easton
September 6, 2014
Link to story on HuffPostPol
Related blogpost (Updated Casualty Count for Syria)
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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).
Kristian Lum (2017). Limitations of mitigating judicial bias with machine learning. Nature. 26 June 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behavior. DOI 10.1038/s41562-017-0141.
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Kristian Lum (2017). Limitations of mitigating judicial bias with machine learning. Nature. 26 June 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behavior. DOI 10.1038/s41562-017-0141.
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“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.
Bangladesh
India
Sri Lanka
Timor-Leste
Text in English
Para evaluar afirmaciones sobre la reducción de la violencia letal en Colombia
En marzo de 2007, el Grupo de Análisis de Datos de Derechos Humanos (HRDAG por sus siglas en inglés) publicó un estudio con el título de "Para Evaluar Afirmaciones Sobre la Reducción de la Violencia Letal en Colombia." Los autores de dicho estudio evaluaron aseveraciones que la violencia en Colombia disminuyó tras la desmovilización de los paramilitares. Demostraron que tales afirmaciones se basan tanto en una sobreinterpretación de datos no ajustados como en inferencias causales infundadas. Los autores concluyeron que se requieren múltip...
We were surprised and disappointed to learn that our colleague Claudia Paz y Paz has had her term as Guatemala’s attorney general cut short. The nation’s Constitutional Court ruled on 6 February that her four-year term will end this May, instead of in December. (She was appointed in December 2010, replacing an attorney general who was appointed in May 2010.)
During her term, she put four generals from Guatemala’s civil war on the stand for charges of crimes against humanity and genocide, including General José Efraín Ríos Montt, who ruled from 1982 to 1983. We were fortunate to work with her on that trial and to witness the handing down of a ...
In this story, Guerrini discusses the impact of HRDAG’s work in Guatemala, especially the trials of General José Efraín Ríos Montt and Colonel Héctor Bol de la Cruz, as well as work in El Salvador, Syria, Kosovo, and Timor-Leste. Multiple systems estimation and the perils of using raw data to draw conclusions are also addressed.
Megan Price and Patrick Ball are quoted, especially in regard to how to use raw data.
“From our perspective,” Price says, “the solution to that is both to stay very close to the data, to be very conservative in your interpretation of it and to be very clear about where the data came from, how it was collected, what its limitations might be, and to a certain extent to be skeptical about it, to ask yourself questions like, ‘What is missing from this data?’ and ‘How might that missing information change these conclusions that I’m trying to draw?’”
Paula Amado has joined as a Research Scholar, and María Juliana Durán Fedullo has joined as a Visiting Scholar.
In this video, Trina Reynolds-Tyler of Invisible Institute talks about her work with HRDAG on the missing persons project in Chicago and Beneath the Surface.
At the 2014 Joint Statistical Meetings, Patrick Ball discussed his invited paper, "Human Rights Violations: How Do We Begin Counting the Dead?" Also at the JSM, he was honored as a new Fellow of the American Statistical Association and inducted by ASA President Nathaniel Schenker.
Joint Statistical Meetings
August 7, 2014
Boston, Massachusetts
Link to JSM 2014 online program
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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.
