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Quantitative Research at the AHPN Guatemala

In early 2006 I joined the Historical Archive of the National Police (Archivo Histórico de la Policía Nacional, or AHPN) without knowing the impact it would have on my future. I started with cleaning, organizing and classifying documents—and learning, with other colleagues, what a historical archive is and how it works. By April of that year, parallel to these learning processes, I was selected along with 20 other people to begin work on the challenging Quantitative Research project. I started as a "coder," transferring key content from documents into a database. (more…)

HRDAG Retreat 2015

I look at the beach and then at the table surrounded by nerds, deep in thought and conversation about Dirichlet priors, matching algorithms, and armed conflicts. This peculiar (in the best way) environment catalyzes a moment of reflection: how did I get here? Four years ago, as a second-year statistics PhD student, I watched "Guatemala: The Secret Files" on PBS Frontline World. I listened to stories of family members who disappeared without answers or justice. Then the story shifted to the work being done by archivists and data experts at Guatemala's Historic Archive of the National Police. The scientists' pursuit of the truth energized me. I ...

HRDAG Retreat 2016

What do you get when you bring seven statisticians, one quantitative political scientist, a writer, a computer scientist, and an administrator together for four days in a vacation rental on California’s Russian River? A lot of code, a technical paper and book chapter revised, another paper started, a great hike in the Redwoods, descriptions of food poisoning and crash landings in war zones, and a lot of talk about feelings. Did I mention feelings? On the first evening of the annual retreat of the Human Rights Data Analysis Group, executive director Megan Price asked us to go around the room and share how we were feeling on arrival. The request ...

Updated Casualty Count for Syria

Today the United Nations Office of the High Commissioner for Human Rights (OHCHR) released an HRDAG-prepared report that describes and tallies documented killings in the Syrian Arab Republic from the beginning of the conflict in March 2011 through April 2014. (The report is here.) This is our third report for the UN on the Syrian conflict, and it is an update of work we published in January 2013 and June 2013. The report, Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic, concludes that approximately 191,000 identifiable victims have been reported in the period covered (March 2011 – April 2014). (more…)

HRDAG Welcomes New Data Science Fellow

Our newest Data Science Fellow, Will Taylor, is currently a doctoral student in political science and public policy at the University of Michigan.

Welcoming Our New Foundation Relations and Strategy Lead

On March 16, Kristen Yawitz joined the HRDAG team in the role of Foundation Relations and Strategy Lead.

Tech Note – using LLMs for structured info extraction

This post introduces the methodology of the Innocence Discovery Lab, a collaboration between IPNO and HRDAG.

Welcoming Our 2019 Visiting Analyst

Valentina Rozo Ángel has joined our team as our new visiting analyst this fall.

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…)

Welcoming Our 2019-2020 Visiting Data Science Student

Bing Wang has joined HRDAG as a Visiting Data Science Student until the summer of 2020.

New Research on Civilian Deaths and Disappearances in El Salvador

This rigorous estimate shows that 1-2 percent of the country’s population was killed or disappeared during the civil war.

How Data Analysis Confirmed the Bias in a Family Screening Tool

In Pittsburgh …

Projects


Unbiased algorithms can still be problematic

“Usually, the thing you’re trying to predict in a lot of these cases is something like rearrest,” Lum said. “So even if we are perfectly able to predict that, we’re still left with the problem that the human or systemic or institutional biases are generating biased arrests. And so, you still have to contextualize even your 100 percent accuracy with is the data really measuring what you think it’s measuring? Is the data itself generated by a fair process?”

HRDAG Director of Research Patrick Ball, in agreement with Lum, argued that it’s perhaps more practical to move it away from bias at the individual level and instead call it bias at the institutional or structural level. If a police department, for example, is convinced it needs to police one neighborhood more than another, it’s not as relevant if that officer is a racist individual, he said.


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.”


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, ...

Clustering and Solving the Right Problem

In our database deduplication work, we’re trying to figure out which records refer to the same person, and which other records refer to different people. We write software that looks at tens of millions of pairs of records. We calculate a model that assigns each pair of records a probability that the pair of records refers to the same person. This step is called pairwise classification. However, there may be more than just one pair of records that refer to the same person. Sometimes three, four, or more reports of the same death are recorded. So once we have all the pairs classified, we need to decide which groups of records refer to the ...

Videos

Here is a collection of videos that profile projects or features us at speaking engagements. Please get in touch with us if you have any HRDAG video or photography.

A Human Rights Statistician Finds Truth In Numbers

The tension started in the witness room. “You could feel the stress rolling off the walls in there,” Patrick Ball remembers. “I can remember realizing that this is why lawyers wear sport coats – you can’t see all the sweat on their arms and back.” He was, you could say, a little nervous to be cross-examined by Slobodan Milosevic.


Guatemala Struggles to Find War Crimes Justice


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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