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On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.

Romesh Silva and Patrick Ball. “On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.” Proceedings of the Social Statistics Section – Joint Statistical Meetings. New York, (USA). August, 2005.

IRR: Agreement Among Coders is Key

For years I have been engaged in a quantitative study at Guatemala’s Historic Archive of the National Police, or AHPN. (See the blogposts below.) In this study coders collect data on sheets of paper according to criteria established and explained in manuals. But when collecting data, there’s always room for human error—this is why the validity of the study hinges on verifying that coders use the correct criteria. It is important to mention that the mainstay of coding is the use of a controlled vocabulary. A controlled vocabulary gives analysts a framework, or frame of reference, when converting qualitative information into categories ...

Seeking the Truth with Documentation

The need to establish the truth around events is central to goals of transitional justice, particularly securing accountability, establishing legitimate and effective justice mechanisms, and laying the foundations for a peaceful society. Documentation to provide verifiable and widely accepted accounts of such events is a critical component of establishing this truth, or the multiple truths that may exist for a population. It is difficult to overstate the important role of documentation in transitional justice efforts. If some of what follows sounds familiar, echoing points of previous posts, it is no coincidence.  Documentation, in a word, is the ...

Scraping for Pattern: Protecting Immigrant Rights in Washington State

With HRDAG's help, the University of Washington Center for Human Rights team has been able to analyze the scraped text and search for key words such as “jail” in order to gain insight into where immigration arrests are being made.

HRDAG at FAT* 2020: Pre-Trial Risk Assessment Tools

How do police officer booking decisions affect pre-trial risk assessment tools relied upon by judges?

Judges in Habré Trial Cite HRDAG Analysis

Three months after the announcement of the momentous verdict finding former Chadian president Hissène Habré guilty of crimes against humanity, the presiding judges have released the full, written 681-page judgment of the court. Testimony given by HRDAG’s director of research, Patrick Ball, is mentioned at three points in the verdict. The judges included in their written judgment the HRDAG analysis that the mortality rate in Habré prisons was staggeringly high—much higher than the mortality rate among the population as a whole. Here’s an excerpt from the judgment, page 358 (translated by Google): The statistical expert, Patrick Ball, ...

Carnegie Mellon Partners With Human Rights Data Analysis Group To Improve Syrian Casualty Reporting

Megan Price: Life-Long ‘Math Nerd’ Finds Career in Social Justice

“I was always a math nerd. My mother has a polaroid of me in the fourth grade with my science fair project … . It was the history of mathematics. In college, I was a math major for a year and then switched to statistics.

I always wanted to work in social justice. I was raised by hippies, went to protests when I was young. I always felt I had an obligation to make the world a little bit better.”

Speaking Stats to Justice: Expert Testimony in a Guatemalan Human Rights Trial Based on Statistical Sampling

Technical Memo for Amnesty International Report on Deaths in Detention

Megan Price, Anita Gohdes and Patrick Ball (2016). Human Rights Data Analysis Group, commissioned by Amnesty International. August 17, 2016. © 2016 HRDAG. Creative Commons BY-NC-SA.

Patrick Ball Honored as New ASA Fellow

We’re very happy to announce that our executive director, Patrick Ball, has been elected as a Fellow of the American Statistical Association (ASA), as announced by ASA President Nathaniel Schenker. Patrick is one of 63 new ASA Fellows to be honored this year in a ceremony at the Joint Statistical Meetings, which will take place this August 5 in Boston, Massachusetts. (more…)

Data and Social Good: Using Data Science to Improve Lives, Fight Injustice, and Support Democracy

100x100-oreillymedia-logoIn this free, downloadable report, Mike Barlow of O’Reilly Media cites several examples of how data and the work of data scientists have made a measurable impact on organizations such as DataKind, a group that connects socially minded data scientists with organizations working to address critical humanitarian issues. HRDAG—and executive director Megan Price—is one of the first organizations whose work is mentioned.

Can the Armed Conflict Become Part of Colombia’s History?

Paula Amado and María Juliana Durán Fedullo reflect on how the Truth Commission may change Colombia’s history, finally officially acknowledging the 50-year conflict and its casualties, and reckoning with who did what to whom.

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...

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.”

Learning to Learn: Reflections on My Time at HRDAG

So much of what I learned at HRDAG was intangible, and I'm grateful to have been able to go deep.

Overbooking’s Impact on Pre-Trial Risk Assessment Tools

How do police officer booking decisions affect tools relied upon by judges?

To Combat Human Rights Abuses, California Company Looks to Computer Code

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.

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.

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