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Donate with a Donor Advised Fund

To donate to Human Rights Data Analysis Group via a Donor Advised Fund, you should follow three steps: In your Donor Advised Fund portal, look up our fiscal sponsor Community Partners using the Tax ID 95-4302067. It is important to use the tax ID, not the name, as there are many organizations with the same or similar names. Once you have selected Community Partners, look for a way to customize the donation or donate to a specific project that allows you to write-in the name of a fund or project. Then please write in "Human Rights Data Analysis Group." Please email info@hrdag.org to let us know that you have sent the donation so we can make ...

Uncovering Police Violence in Chicago: A collaboration between HRDAG and Invisible Institute

In 2014 and again in 2020, the Invisible Institute, a Chicago grassroots organization, won lawsuits that granted them access to decades of complaints of misconduct by Chicago police officers. The collection contains hundreds of thousands of pages of allegation forms, memos, various police administrative forms, interviews and testimonies, pictures, and even embedded audio files. The Institute published scanned images on the Citizens Police Data Project, and is using them for a project with HRDAG known as Beneath the Surface, which is a detailed investigation into gender-based violence by Chicago Police. Image: David Peters Often, gender-b...

Always Learning

The data science field is always changing, which means that I'll always be learning.

FAQs on Predictive Policing and Bias

Last month Significance magazine published an article on the topic of predictive policing and police bias, which I co-authored with William Isaac. Since then, we've published a blogpost about it and fielded a few recurring questions. Here they are, along with our responses. Do your findings still apply given that PredPol uses crime reports rather than arrests as training data? Because this article was meant for an audience that is not necessarily well-versed in criminal justice data and we were under a strict word limit, we simplified language in describing the data. The data we used is a version of the Oakland Police Department’s crime report...

HRDAG Names New Board Member Margot Gerritsen

Margot is a professor in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering processes.

Report on Measures of Fairness in NYC Risk Assessment Tool

The report tries to answer the question of whether a particular risk assessment model reinforces racial inequalities in the criminal justice system.

Courts and police departments are turning to AI to reduce bias, but some argue it’ll make the problem worse

Kristian Lum: “The historical over-policing of minority communities has led to a disproportionate number of crimes being recorded by the police in those locations. Historical over-policing is then passed through the algorithm to justify the over-policing of those communities.”

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 justif...

Coders Bare Invasion Death Count

Mining data on mutilations, beatings, murders

Human Rights Violations: How Do We Begin Counting the Dead?

At the 2014 Joint Statistical Meetings, Patrick Ball discussed his invited paper, "Human Rights Violations: How Do We Begin Counting the Dead?" Also at the JSM, he was honored as a new Fellow of the American Statistical Association and inducted by ASA President Nathaniel Schenker. Joint Statistical Meetings August 7, 2014 Boston, Massachusetts Link to JSM 2014 online program Back to Talks

Working Where Statistics and Human Rights Meet

Robin Mejia and Megan Price (2018). Working Where Statistics and Human Rights Meet. Chance (special issue). February 2018. © 2018 CHANCE.

Documents of war: Understanding the Syrian Conflict

Megan Price, Anita Gohdes, and Patrick Ball. 2015. Significance 12, no. 2 (April): 14–19. doi: 10.1111/j.1740-9713.2015.00811.x. © 2015 The Royal Statistical Society. All rights reserved. [online abstract]

On or off the record? Detecting patterns of silence about death in Guatemala’s National Police Archive

Tamy Guberek and Margaret Hedstrom (2017). On or off the record? Detecting patterns of silence about death in Guatemala’s National Police Archive. Archival Science. 9 February 2017. © Springer. DOI 10.1007/s10502-017-9274-3.

Tamy Guberek and Margaret Hedstrom (2017). On or off the record? Detecting patterns of silence about death in Guatemala’s National Police Archive. Archival Science. 9 February 2017. © Springer. DOI 10.1007/s10502-017-9274-3.

Mexico

HRDAG and our partners Data Cívica and the Iberoamericana University created a machine-learning model to predict which counties (municipios) in Mexico have the highest probability of unreported hidden graves. The predictions help advocates to bring public attention and government resources to search for the disappeared in the places where they are most likely to be found. Context For more than ten years, Mexican authorities have been discovering hidden graves (fosas clandestinas). The casualties are attributed broadly—and sometimes inaccurately—to the country’s “drug war,” but the motivations and perpetrators behind the mass murders ...

Evaluation of the Database of the Kosovo Memory Book

Jule Krüger and Patrick Ball (2014). An analysis accompanying the release of the Kosovo Memory Book. December 10, 2014. © 2014 HRDAG. Creative Commons BY-NC-SA.

Applications of Multiple Systems Estimation in Human Rights Research

Lum, Kristian, Megan Emily Price, and David Banks. 2013. The American Statistician 67, no. 4: 191-200. doi: 10.1080/00031305.2013.821093. © 2013 The American Statistician. All rights reserved. [free eprint may be available].

Una Mirada al Archivo Histórico de la Policia Nacional a Partir de un Estudio Cuantitativo

Carolina López, Beatriz Vejarano, and Megan Price. 2016. Human Rights Data Analysis Group. © 2016 HRDAG.Creative Commons BY-NC-SA.

 

The ‘Dirty War Index’ and the Real World of Armed Conflict.

Amelia Hoover, Romesh Silva, Tamy Guberek, and Daniel Guzmán. “The ‘Dirty War Index’ and the Real World of Armed Conflict.” May 23, 2009. © 2009 HRDAG. Creative Commons BY-NC-SA.

Measuring the Mortality Consequences of Armed Conflict in Amritsar, India: A New Approach to the Indirect Sampling of Conflict-Related Mortality

Romesh Silva and Jeff Klingner. “Measuring the Mortality Consequences of Armed Conflict in Amritsar, India: A New Approach to the Indirect Sampling of Conflict-Related Mortality.” Poster presented at the Population Association of America 2011 Annual Meeting. © 2011 Benetech. Creative Commons BY-NC-SA.

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