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When Data Doesn’t Tell the Whole Story

This blog is a part of International Justice Monitor’s technology for truth series, which focuses on the use of technology for evidence and features views from key proponents in the field. As highlighted by other posts in this series, emerging technology is increasing the amount and type of information available, in some contexts, to criminal and other investigations. Much of what is produced by these emerging technologies (Facebook posts, tweets, YouTube videos, text messages) falls in the category we refer to as “found” data. By “found” data we mean data not generated for a specific investigation, but instead, that is generated for ...

Reality and Risk in Our Mortality Study of the Peruvian TRC

HRDAG researchers and analysts at Peru's Truth and Reconciliation Commission (TRC) estimated conflict mortality due to violence using Capture-Recapture methods.

Tech Corner

The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. Click the accordion blocks below to reveal each of the Tech Corner entries. Sifting Massive Datasets with Machine Learning Principled Data Processing  

Remembering Scott Weikart

HRDAG’s core values all have a connection to Scott Weikart, 1951–2023.

The Use of Unstructured Data to Study Police Use of Force

CHANCE magazine

Abstract: The challenges and opportunities researchers face when working with unstructured data are hardly new. This article defines unstructured data as data that is not organized according to pre-existing schemas or structures for the sake of statistical analysis. Unstructured data poses a unique challenge for researchers focused on police and policing. The article discusses a definition of unstructured data and two of the primary challenges faced when working with such data, namely information extraction and classification problems. Two case studies are used to illuminate the challenges. Read the article off-site.

Tarak Shah, Cristian Allen, Ayyub Ibrahim, Harlan Kefalas, and Bavo Stevens (2024). “The Use of Unstructured Data to Study Police Use of Force.” 5 December, 2024. CHANCE, 37 (4), 18–23. https://doi.org/10.1080/09332480.2024.2434437

© The American Statistical Association (ASA) and Taylor & Francis Group 2024

Tchad Foire Aux Quesions

Violations de droits de l'homme par l'Etat tchadien sous le régime de Hissène Habré [English] Quels sont les principaux résultats de ce rapport? Quelles violations de droits de l'homme commises dans les prisons de la DDS ont été prouvées? Quelle preuve il y a t-il que Habré et la direction de la DDS étaient responsables pour ces violations de droits de l'homme? D'où proviennent les documents internes de la DDS? En quelle mesure l'analyse comprise dans le rapport contribue t-elle a l'affaire judiciaire Hissène Habré? Est-ce que HRDAG donne des estimations concernant le nombre total de personnes tuées dans les prisons par la DDS - les ...

Violence in Blue: The 2020 Update

HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.

How Data Analysis Confirmed the Bias in a Family Screening Tool

In Pittsburgh …

Patrick Ball Honored with Degree at Claremont Graduate University

We’re happy to announce that our executive director, Patrick Ball, has been presented an honorary degree from Claremont Graduate University in Claremont, California. University President Deborah Freund presented the degree to Patrick at the university’s 88th annual commencement ceremony on Saturday, May 16, 2015. The degree conferred was Doctor of Science honoris causa. “We at CGU are thrilled that Patrick Ball accepted our Honorary Degree invitation and joined us for commencement,” said Thomas Horan, CGU Professor and Director, Center for Information Systems and Technology. “Patrick’s work stands as a model for conducting first-r...

“Surmortalité carcérale” sous Habré

Le statisticien américain Patrick Ball, expert au procès de Hissène Habré, a déclaré vendredi que le taux de mortalité d’opposants tchadiens présumés dans les prisons du régime Habré était encore pire que celui des prisonniers de guerre américains dans les camps japonais.

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States

James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. Harvard Data Science Review. 24 November, 2020. © The Authors, 2020, CC BY 4.0. https://doi.org/10.1162/99608f92.7679a1ed

James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. Harvard Data Science Review. 24 November, 2020. © The Authors, 2020, CC BY 4.0. https://doi.org/10.1162/99608f92.7679a1ed

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...

Lessons at HRDAG: Holding Public Institutions Accountable

Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.

About Us

Who We Are The Human Rights Data Analysis Group is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world. We are a team with expertise in mathematical statistics, computer science, demography, and social science. We are non-partisan—we do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and ...

To Count the Uncounted: An Estimation of Lethal Violence in Casanare,

Tamy Guberek, Daniel Guzmán, Megan Price, Kristian Lum and Patrick Ball, “To Count the Uncounted: An Estimation of Lethal Violence in Casanare,” A Report by the Benetech Human Rights Program. 10 February 2010. (Available in Spanish) © 2010 Benetech. Creative Commons BY-NC-SA.

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...

Reflections: A Simple Plan

I got an email from my superheroic PhD adviser in June 2006: Would I be interested in relocating to Palo Alto for six months in order to work with Patrick Ball at the Human Rights Data Analysis Group? (She'd gotten a grant and would cover my stipend.) Since I'd spent the last several months in New Haven wrestling ineffectually with giant, brain-melting methodological problems, I said yes immediately. The plan with my adviser was simple: I'd digitize the ancient, multiply-photocopied pages of data from the United Nations Truth Commission for El Salvador, combine them with two other datasets, match across all the records, and produce reliable ...

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.

500 Tamils forcibly disappeared in three days, after surrendering to army in 2009

A new study has estimated that over 500 Tamils were forcibly disappeared in just three days, after surrendering to the Sri Lankan army in May 2009.

The study, carried out by the Human Rights Data Analysis Group and the International Truth and Justice Project, based on compiled lists which identify those who were known to have surrendered, estimated that 503 people had been forcibly disappeared between the 17th– 19th of May 2009.

Las cifras de la CVR en el 2019

Las estimaciones se estratificaron por ubicación y perpetrador.

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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