676 results for search: %E3%80%8E%EB%8F%84%EB%B4%89%EA%B5%AC%EC%83%81%ED%99%A9%EA%B7%B9%E3%80%8F%20O6O%E3%85%A15O1%E3%85%A19997%20%EC%82%AC%EC%8B%AD%EB%8C%80%EB%8C%80%ED%99%94%EC%96%B4%ED%94%8C%20%EC%BB%A4%ED%94%8C%EC%BB%A4%EB%AE%A4%EB%8B%88%ED%8B%B0%E2%86%95%EB%AF%B8%EC%8A%A4%EB%85%80%EB%8D%B0%EC%9D%B4%ED%8C%85%E2%92%AE%EB%B0%A9%EC%95%84%EC%83%81%ED%99%A9%EA%B7%B9%20%E3%83%8D%E5%AF%9D%20bifoliate/feed/content/colombia/privacy


At Toronto’s Tamil Fest, human rights group seeks data on Sri Lanka’s civil war casualties

Earlier this year, the Canadian Tamil Congress connected with HRDAG to bring its campaign to Toronto’s annual Tamil Fest, one of the largest gatherings of Canada’s Sri Lankan diaspora.

Ravichandradeva, along with a few other volunteers, spent the weekend speaking with festival-goers in Scarborough about the project and encouraging them to come forward with information about deceased or missing loved ones and friends.

“The idea is to collect thorough, scientifically rigorous numbers on the total casualties in the war and present them as a non-partisan, independent organization,” said Michelle Dukich, a data consultant with HRDAG.


Data Mining for Good: CJA Drink + Think

At the Center for Justice and Accountability's happy hour, "Drink and Think," Patrick Ball spoke about "Data Mining for Good." The talk included a discussion of how HRDAG brings human rights abusers to justice through data analysis, and HRDAG's work conducting quantitative analysis for truth commissions, NGOs, the UN and other partners. The event was held at Eventbrite. More photos are below. The Center for Justice and Accountability Young Professionals' Committee for Human Rights September 16, 2014 San Francisco, California Link to CJA event page Back to Talks   All photos © 2014 Carter Brooks.

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies

This Harvard Data Science Review article uses the least unreliable source of pandemic data: reported deaths.

Theoretical limits of microclustering for record linkage

James E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.

John E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.


Low-risk population size estimates in the presence of capture heterogeneity

James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneity. Biometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065

James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneityBiometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065


Using Statistics to Assess Lethal Violence in Civil and Inter-State War

Patrick Ball and Megan Price (2019). Using Statistics to Assess Lethal Violence in Civil and Inter-State War. Annual Review of Statistics and Its Application, Volume 6. 7 March 2019. © 2019 Annual Reviews. All rights reserved. https://doi.org/10.1146/annurev-statistics-030718-105222.

Patrick Ball and Megan Price (2019). Using Statistics to Assess Lethal Violence in Civil and Inter-State War. Annual Review of Statistics and Its Application. 7 March 2019. © 2019 Annual Reviews. All rights reserved. https://doi.org/10.1146/annurev-statistics-030718-105222.


Limitations of mitigating judicial bias with machine learning

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. .

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.


A Model to Estimate SARS-CoV-2-Positive Americans

We’ve built a model for estimating the true number of positives, using what we have determined to be the most reliable datasets—deaths.

Emeritus Advisers

We are grateful to our past advisers for their contributions to HRDAG. Advisory Board Audrey Chapman, Healey Chair in Medical Humanities and Bioethics, University of Connecticut 2013-2014 (one-year term)

HRDAG Offers New R Package – dga

Much of the work we do at HRDAG involves estimating the number of undocumented deaths using a statistical technique called multiple systems estimation (MSE, described in more detail here). One of our goals is to make this class of methods more broadly available to human rights researchers. In particular, we are finding that Bayesian approaches are extremely valuable for MSE. Accordingly, we are pleased to offer a new R package called dga (“decomposable graphs approach”) that performs Bayesian model averaging for MSE. The main function in this package implements a model created by David Madigan and Jeremy York. This model was designed to ...

Patrick Ball wins the Karl E. Peace Award

Patrick Ball won the Karl E. Peace Award for Outstanding Statistical Contributions for the Betterment of Society at the 2018 Joint Statistical Meeting.

Locating Hidden Graves in Mexico

For more than 10 years, and with regularity, Mexican authorities have been discovering mass graves, known as fosas clandestinas, in which hundreds of bodies and piles of bones have been found. The casualties are attributed broadly to the country’s “drug war,” although the motivations and perpetrators behind the mass murders are often unknown. Recently, HRDAG collaborated with two partners in Mexico—Data Cívica and Programa de Derechos Humanos of the Universidad Iberoamericana—to model the probability of identifying a hidden grave in each county (municipio). The model uses an set of independent variables and data about graves from 2013 ...

Coming soon: HRDAG 2019 Year-End Review

The online version of the 2019 Year-End Review will appear in January 2020.            

The Atrocity Archives


Hat-Tip from Guatemala Judges on HRDAG Evidence

We welcome the verdict of a week ago by Judges Barrios, Bustamante, and Xitumul in the conviction of General Efraín Ríos Montt for genocide and crimes against humanity. Their 718-page written opinion contains many compelling arguments, findings, and conclusions. But the section we at HRDAG are most interested in is the one on page 245 (see original, below), where Patrick's testimony is referred to. (more…)

Death rate in Habre jails higher than for Japanese POWs, trial told

Patrick Ball of the California-based Human Rights Data Analysis Group said he had calculated the mortality rate of political prisoners from 1985 to 1988 using reports completed by Habre’s feared secret police.


El Salvador 1991 – Who Did What To Whom?

Members of the Salvadoran military committed tens of thousands of killings during the country’s civil war which raged from the late 1970’s until 1990. While working for a peace organization in El Salvador in 1991, Patrick Ball was asked by a colleague at a human rights group to help organize a large collection of human rights testimonies. Trained as a social scientist, Ball created the “Who Did What To Whom” (WTWTW) model for examining human rights data. Ball used this system to create a structured, relational database of violations reported in more than 9,000 testimonies to the Salvadoran Human Rights Commission. To determine who was most ...

Haiti

In 1995, the Haitian National Commission for Truth and Justice (CNVJ) requested the advice of the American Association for the Advancement of Science (AAAS) and Dr. Patrick Ball on how to develop a large-scale project to take the testimonies of several thousand witnesses of human rights abuses in Haiti. The team conducted work incorporating over 5,000 interviews covering over 8,500 victims to produce detailed regional analyses, using quantitative material from the interviews, historical, economic and demographic analysis.

Our Copyright Policy

We have specified "Some Rights Reserved" on our website, instead of the more conventional "All Rights Reserved." This is because some of our web content is covered by a Creative Commons license, which means that it may be copied and even re-purposed, with some stipulations. We have made this decision because HRDAG wants to contribute to the digital commons, defined by Creative Commons as "a pool of content that can be copied, distributed, edited, remixed, and built upon, all within the boundaries of copyright law." Our Creative Commons License We are using the Attribution-NonCommercial-ShareAlike license, also known as the BY-NC-SA license. Here is ...

Ouster of Guatemala’s Attorney General

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 ...

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.

Donate