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La misión de contar muertos


Machine learning is being used to uncover the mass graves of Mexico’s missing

“Patrick Ball, HRDAG’s Director of Research and the statistician behind the code, explained that the Random Forest classifier was able to predict with 100% accuracy which counties that would go on to have mass graves found in them in 2014 by using the model against data from 2013. The model also predicted the counties that did not have mass hidden graves found in them, but that show a high likelihood of the possibility. This prediction aspect of the model is the part that holds the most potential for future research.”


HRDAG’s Year in Review: 2021

At HRDAG, 2021 was all about service and partnership.

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.

Colombia

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...

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Help Us Advance Justice And Human Rights Your donations enable HRDAG to use data science and help our partners answer important questions about human rights and patterns of mass violence. Or Write a Check If you prefer to donate by check, please make it payable to: “Community Partners for HRDAG” Mail it to: Community Partners P. O. Box 741265 Los Angeles, CA 90074-1265

About HRDAG

We are non-partisan—we do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and other international human rights treaties and instruments.

Cuentas y mediciones de la criminalidad y de la violencia

Exploración y análisis de los datas para comprender la realidad. Patrick Ball y Michael Reed Hurtado. 2015. Forensis 16, no. 1 (July): 529-545. © 2015 Instituto Nacional de Medicina Legal y Ciencias Forenses (República de Colombia).


Gaza: Why is it so hard to establish the death toll?

HRDAG director of research Patrick Ball is quoted in this Nature article about how body counts are a crude measure of the war’s impact and more reliable estimates will take time to compile.


PredPol amplifies racially biased policing

100x100-micHRDAG associate William Isaac is quoted in this article about how predictive policing algorithms such as PredPol exacerbate the problem of racial bias in policing.


“El reto de la estadística es encontrar lo escondido”: experto en manejo de datos sobre el conflicto

In this interview with Colombian newspaper El Espectador, Patrick Ball is quoted as saying “la gente que no conoce de álgebra nunca debería hacer estadísticas” (people who don’t know algebra should never do statistics).


Weapons of Math Destruction

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.


Setting the Record Straight


Asia

Bangladesh India Sri Lanka Timor-Leste

How Many Peruvians Have Died?

Patrick Ball, Jana Asher, David Sulmont, and Daniel Manrique. “How Many Peruvians Have Died?” © 2003 American Association for the Advancement of Science.


Predictive policing tools send cops to poor/black neighborhoods

100x100-boingboing-logoIn this post, Cory Doctorow writes about the Significance article co-authored by Kristian Lum and William Isaac.


The case against Hissene Habre


Humanitarian Statistics

In late 2006, a statistical study of deaths that occurred after the invasion of Iraq ignited a storm of controversy. This Lancet study estimated that more than 650,000 additional Iraqis died during the invasion than would have at pre-invasion death rates, a vastly higher estimate than any previous. But in January, a World Health Organization study placed the number at about 150,000.


Tech Note – improving LLM-driven info extraction

A follow-up chapter exploring recent advancements in LLM technology and extraction strategies.

When Data Doesn’t Tell the Whole Story

This blog is a part of International Justice Monitor’s technology for truth series, which focuses on the use of technology for evidence and features views from key proponents in the field. As highlighted by other posts in this series, emerging technology is increasing the amount and type of information available, in some contexts, to criminal and other investigations. Much of what is produced by these emerging technologies (Facebook posts, tweets, YouTube videos, text messages) falls in the category we refer to as “found” data. By “found” data we mean data not generated for a specific investigation, but instead, that is generated for ...

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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