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Welcoming Our 2019 Data Science Fellow

We’re pleased to announce that Camille Fassett has joined our team as our new data science fellow.

Skoll World Forum 2018

Illuminating Data's Dark Side: Big data create conveniences, but we must consider who designs these tools, who benefits from them, and who is left out of the equation.

Reflections: It Began In Bogotá

It was July of 2006, I’d spent five years working at a local human rights NGO in Bogotá, and I had reached retirement age. But then a whole new world opened up for me to discover. Tamy Guberek, then HRDAG Latin America coordinator, whom I had met at the NGO, approached me about becoming part of the HRDAG Colombia team as a research/administrative assistant. Over a cup of suitably Colombian coffee, the deal was quickly "signed.” My responsibilities ranged from fundraising to translations, from support in data gathering for estimates on homicides and disappearances in various regions of Colombia to editorial support to different Benetech-HRDAG ...

State Violence in Guatemala, 1960-1996: A Quantitative Reflection

Patrick Ball, Paul Kobrak, Herbert F. Spirer. State Violence in Guatemala, 1960-1996: A Quantitative Reflection. © 1999 American Association for the Advancement of Science. [pdf – english] [pdf – español]

New UN report counts 191,369 Syrian-war deaths — but the truth is probably much, much worse

Amanda Taub of Vox has interviewed HRDAG executive director about the UN Office of the High Commissioner of Human Right’s release of HRDAG’s third report on reported killings in the Syrian conflict.
From the article:
Patrick Ball, Executive Director of the Human Rights Data Analysis Group and one of the report’s authors, explained to me that this new report is not a statistical estimate of the number of people killed in the conflict so far. Rather, it’s an actual list of specific victims who have been identified by name, date, and location of death. (The report only tracked violent killings, not “excess mortality” deaths from from disease or hunger that the conflict is causing indirectly.)

Hissène Habré, le Pinochet Africain

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.”

Reflections: The G in HRDAG is the Real Fuel

It took me a while to realize I had become part of the HRDAG incubator—at least that’s what it felt like to me—for young data analysts who wanted to use statistical knowledge to make a real impact on human rights debates.

Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).

Daniel R. Guzmán, Tamy Guberek, Gary M. Shapiro, Paul Zador (2009). “Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).” In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.

Big data may be reinforcing racial bias in the criminal justice system

Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.

Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.

The story of one document inside the AHPN

The beginnings are crucial in every step—as critical as the beginning of sound, life, hope, and justice. Here are some first steps from the AHPN (Archivo Histórico de la Policía Nacional). This is the story of Oficio Number COC/207-laov, a document that at first appears uninteresting. But this is not just any oficio*. This is one of the many documents that helped bring to trial the people responsible for the disappearance of Edgar Fernando García. A father, husband, son, and student, García was, like many people today, interested in changing his community for the better. (more…)

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.

Guatemalan National Police Archive Project

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 ...

Film: Solving for X

Solving for X documents Patrick's team as they travel to Guatemala, Kosovo, and Liberia, helping human rights supporters apply sophisticated computer analysis to human rights events.

Using Cemetery Information in the Search for the Disappeared: Lessons from a Pilot Study in Rionegro, Antioquia

Tamy Guberek, Daniel Guzmán, and Beatriz Vejarano. “Using Cemetery Information in the Search for the Disappeared: Lessons from a Pilot Study in Rionegro, Antioquia.” In Methodological Proposals for Documenting and Searching for Missing Persons in Colombia. (Available in Spanish) © 2010 EQUITAS. All rights reserved.

The Art and Science of Coding AHPN Documents

The coding, from my perspective, is the heart of the project. I say this, because the coding team has the responsibility of selecting documents according to the random sample, recording the documents’ contents, and applying the criteria to convert that content into an entry in a quantitative database. Not to mention the fact that this team has the privilege of being in direct contact with the documents. At present, because of advanced organizational processes, not everyone has a chance to hold an original document in their hands. The quantitative study had many advantages in this regard; since we started work in parallel with the archival ...

Benetech’s Human Rights Data Analysis Group Publishes 2010 Analysis of Human Rights Violations in Five Countries,

Analysis of Uncovered Government Data from Guatemala and Chad Clarifies History and Supports Criminal Prosecutions
By Ann Harrison
The past year of research by the Benetech Human Rights Data Analysis Group (HRDAG) has supported criminal prosecutions and uncovered the truth about political violence in Guatemala, Iran, Colombia, Chad and Liberia. On today’s celebration of the 62nd anniversary of the Universal Declaration of Human Rights, HRDAG invites the international community to engage scientifically defensible methodologies that illuminate all human rights violations – including those that cannot be directly observed. 2011 will mark the 20th year that HRDAG researchers have analyzed the patterns and magnitude of human rights violations in political conflicts to determine how many of the killed and disappeared have never been accounted for – and who is most responsible.

Press Release, Timor-Leste, February 2006

SILICON VALLEY GROUP USES TECHNOLOGY TO HELP THE TRUTH COMMISSION ANSWER DISPUTED QUESTIONS ABOUT MASSIVE POLITICAL VIOLENCE IN TIMOR-LESTE Palo Alto, CA, February 9, 2006 – The Benetech® Initiative today released a statistical report detailing widespread and systematic violations in Timor-Leste during the period 1974-1999. Benetech's statistical analysis establishes that at least 102,800 (+/- 11,000) Timorese died as a result of the conflict. Approximately 18,600 (+/- 1000) Timorese were killed or disappeared, while the remainder died due to hunger and illness in excess of what would be expected due to peacetime mortality. The magnitude of deaths ...

The Great Lessons in Research at the Archive

Doing an investigation on the contents of the Archive brought with it three major lessons. The first big lesson was the constant movement (nothing was static), The second great lesson was that everything evolved (the changes were a constant). The third major lesson was to discover how two institutions can work together while geographically far apart. The constant movement As there were other processes being carried out at the Archive, everything was in constant movement. In other words, one day the documents were in X location and tomorrow they may be in location Y or dispersed in multiple locations. This made it impossible to know with certai...

Why raw data doesn't support analysis of violence

This morning I got a query from a journalist asking for our data from the report we published yesterday. The journalist was hoping to create an interactive infographic to track the number of deaths in the Syrian conflict over time. Our data would not support an analysis like the one proposed, so I wrote this reply. We can't send you these data because they would be misleading—seriously misleading—for the purpose you describe. Here's why: What we have is a list of documented deaths, in essence, a highly non-random sample, though a very big one. We like bigger samples because we think that they must be closer to true. The mathematical justificat...

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