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Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Allegheny Family Screening Tool’s Overestimation of Utility and Risk. Logic(s). 13 December, 2023. Issue 20.
Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Allegheny Family Screening Tool’s Overestimation of Utility and Risk. Logic(s). 13 December, 2023. Issue 20.
ed. by Taylor B. Seybolt, Jay D. Aronson, and Baruch Fischhoff. Oxford University Press. © 2013 Oxford University Press. All rights reserved.
The following four chapters are included:
— Todd Landman and Anita Gohdes (2013). “A Matter of Convenience: Challenges of Non-Random Data in Analyzing Human Rights Violations in Peru and Sierra Leone.”
— Jeff Klingner and Romesh Silva (2013). “Combining Found Data and Surveys to Measure Conflict Mortality.”
— Daniel Manrique-Vallier, Megan E. Price, and Anita Gohdes (2013). “Multiple-Systems Estimation Techniques for Estimating Casualties in Armed Conflict.”
— Jule Krüger, Patrick Ball, Megan Price, and Amelia Hoover Green (2013). “It Doesn’t Add Up: Methodological and Policy Implications of Conflicting Casualty Data.”
During 36 years of internal armed conflict, which ended in 1996, an estimated 200,000 Guatemalans were killed or disappeared. HRDAG researchers returned to Guatemala in 2006 to analyze a sample of the estimated 46 million records discovered in the archive of the now disbanded Guatemalan National Police. HRDAG statisticians Daniel Guzmán, Romesh Silva, Patrick Ball and Tamy Guberek, together with Paul Zador and Gary Shapiro of the American Statistical Association, developed a multi-stage random sample of the archive to get a clearer picture of its contents. Sampled documents shed light on the disappearance of Guatemalan union leader Edgar Fernando ...
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.
Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool. ACLU. Summer 2023.
Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool. ACLU. Summer 2023.
Maria Gargiulo, María Julia Durán, Paula Andrea Amado, and Patrick Ball (2024). verdata: An R package for analyzing data from the Truth Commission in Colombia. The Journal of Open Source Software. 6 January, 2024. 9(93), 5844, https://doi.org/10.21105/joss.05844. Creative Commons Attribution 4.0 International License.
Maria Gargiulo, María Julia Durán, Paula Andrea Amado, and Patrick Ball (2024). verdata: An R package for analyzing data from the Truth Commission in Colombia. The Journal of Open Source Software. 6 January, 2024. 9(93), 5844, https://doi.org/10.21105/joss.05844. Creative Commons Attribution 4.0 International License.
The institution’s objectives were to learn the truth about what happened during the armed conflict.
Today The Tor Project announced that it has elected a new Board of Directors, and among them is HRDAG executive director Megan Price. The Tor Project is a nonprofit advocacy group that promotes online privacy and provides software that helps users opt out of online tracking.
Megan and Patrick have long maintained that encryption and privacy are essential for enabling human rights work. Patrick's ideas are described in Monday's FedScoop story about encryption, human rights, and the U.S. State Department.
“Human rights groups depend on strong cryptography in order to hold governments accountable," says Patrick. "HRDAG depends on local human ...
HRDAG built a machine-learning tool to strip the raw data of any potentially identifying information such as names and court case numbers. There was no "acceptable error rate."
The primer addresses what pretrial risk assessment is and what the research supports.
“If you’re not careful, you risk automating the exact same biases these programs are supposed to eliminate,” says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was “learning” from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is “especially nefarious” because police can say: “We’re not being biased, we’re just doing what the math tells us.” And the public perception might be that the algorithms are impartial.
The first time I met anyone at HRDAG, I was a journalist. It was 2006. I was working on a story about a graduate student at Carnegie Mellon who’d collaborated with the organization on a survey in Sierra Leone, and I contacted Patrick Ball to discuss the work. At the time, I found him challenging.
But I thought his work—trying to estimate how many people were killed, or, in that study, otherwise injured, during wars—was fascinating. Over the next few years, I got to know other researchers working on similar questions. In 2008, as the war in Iraq ramped up, I spoke with epidemiologists from Johns Hopkins University, the World Health Organiz...
Patrick Ball is kicking himself for a decision he made almost 25 years ago. “I was clever, but I wasn’t smart,” he says ruefully, as he considers the labyrinth of tables and ASCII-encoded keystrings he used to design a database of human rights violations for the pioneering Salvadoran non-governmental Human Rights Commission (CDHES). Now I’m sitting in his office in San Francisco’s Mission District watching over his shoulder, and trying to keep up, as he bangs out code to decipher the priceless data contained in these old files. Created in 1991 and 1992, during the last days of El Salvador’s internal armed conflict, the files detail ...
Access to the records contained in archives is a concern shared by many. Archives support memory and free access to them strengthens democratic processes. Everyone should be allowed to see first-hand the records contained in an archive and be free to interpret them as needed.
Access to archives can increase knowledge on various topics and opens opportunities for different fields of knowledge. (more…)
This week, we join our friends and colleagues in feeling horrified by the violence in Charlottesville, Virginia. As we have for the past 26 years, we stand with the victims of violence and support human rights and dignity for all. We spend our careers observing and documenting mass political violence across the world. The demands by the so-called “alt-right” to normalize racism and social exclusion are all too familiar to us.
At HRDAG, our work is always guided by the Universal Declaration of Human Rights (UDHR). We reaffirm our commitment to these principles, in particular that the “recognition of the inherent dignity and of the equal and ...
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 ...
With help from HRDAG, Roman Rivera built the data backbone for the Invisible Institute's Citizens Police Data Project.
Trina Reynolds-Tyler's internship at HRDAG helped her use data science to find patterns in state-sanctioned violence.
