686 results for search: %7B%EC%95%A0%EC%9D%B8%EB%A7%8C%EB%93%A4%EA%B8%B0%7D%20WWW%E2%80%B8TADA%E2%80%B8PW%20%20%EC%B2%9C%EA%B5%B0%EB%8F%99%EC%83%81%ED%99%A9%EA%B7%B9%20%EC%B2%9C%EA%B5%B0%EB%8F%99%EC%84%B1%EC%83%81%EB%8B%B4%D0%B2%EC%B2%9C%EA%B5%B0%EB%8F%99%EC%84%B1%EC%9D%B8%E2%86%95%EC%B2%9C%EA%B5%B0%EB%8F%99%EC%84%B1%EC%9D%B8%EC%89%BC%ED%84%B0%E3%88%A6%E3%81%B6%E6%A3%BCtranscend/feed/content/colombia/dcede2009-28 (1).pdf

Mortality in the DDS Prisons in Chad, 1985–1988

Patrick Ball (2014). Human Rights Data Analysis Group. August 22, 2014. © 2014 HRDAG. Creative Commons BY-NC-SA.

The impact of overbooking on a pre-trial risk assessment tool

Kristian Lum, Chesa Boudin and Megan Price (2020). The impact of overbooking on a pre-trial risk assessment tool. FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. January 2020. Pages 482–491. https://doi.org/10.1145/3351095.3372846 ©ACM, Inc., 2020.

Kristian Lum, Chesa Boudin and Megan Price (2020). The impact of overbooking on a pre-trial risk assessment tool. FAT* ’20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. January 2020. Pages 482–491. https://doi.org/10.1145/3351095.3372846 ©ACM, Inc., 2020.

Colombia

Text in English Para evaluar afirmaciones sobre la reducción de la violencia letal en Colombia En marzo de 2007, el Grupo de Análisis de Datos de Derechos Humanos (HRDAG por sus siglas en inglés) publicó un estudio con el título de "Para Evaluar Afirmaciones Sobre la Reducción de la Violencia Letal en Colombia." Los autores de dicho estudio evaluaron aseveraciones que la violencia en Colombia disminuyó tras la desmovilización de los paramilitares. Demostraron que tales afirmaciones se basan tanto en una sobreinterpretación de datos no ajustados como en inferencias causales infundadas. Los autores concluyeron que se requieren múltip...

HRDAG’s Year in Review: 2021

At HRDAG, 2021 was all about service and partnership.

Reflections on Data Science for Real-World Problems

Trina Reynolds-Tyler's internship at HRDAG helped her use data science to find patterns in state-sanctioned violence.

El Salvador

Some of the earliest large-scale human rights information projects happened in El Salvador. One was developed by Patrick Ball at the Salvadoran non-governmental Human Rights Commission, also known as Comision de Derechos Humanos de El Salvador (CDHES-ng). Between 1977 and 1990, more than 9,000 testimonies were taken in an effort to document the nature and scope of the bloody conflict between the army and the Farabundo Marti National Liberation Front (FMLN). Starting in 1991, Patrick worked with CDHES staff to organize the information in an early computer database. They linked reported human rights violations with the career structures of individual ...

Reflections: The People Who Make the Data

HRDAG associate Miguel Cruz has an epiphany. All those data he’s drowning in? Each datapoint is a personal tragedy, a story both dark and urgent, and he’s privileged to have access.

Megan Price Elected Board Member of Tor Project

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 ...

Using MSE to Estimate Unobserved Events

At HRDAG, we worry about what we don't know. Specifically, we worry about how we can use statistical techniques to estimate homicides that are not observed by human rights groups. Based on what we've seen studying many conflicts over the last 25 years, what we don't know is often quite different from what we do know. The technique we use most often to estimate what we don't know is called "multiple systems estimation." In this medium-technical post, I explain how to organize data and use three R packages to estimate unobserved events. Click here for Computing Multiple Systems Estimation in R.

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.

Full Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic

Price, Megan, Jeff Klingner, Anas Qtiesh, and Patrick Ball. 2013. Commissioned by the United Nations Office of the High Commissioner for Human Rights (OHCHR). Human Rights Data Analysis Group (June 13). © 2013 HRDAG. Creative Commons BY-NC-SA. [pdf via UN]

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 lethal counterinsurgency violence in Amritsar District, India using a referral-based sampling technique

Romesh Silva, Jeff Klingner, and Scott Weikart. “Measuring lethal counterinsurgency violence in Amritsar District, India using a referral-based sampling technique.” In JSM Proceedings, Social Statistics Section. Alexandria, VA: American Statistical Association, 2010. © 201o JSM. All rights reserved.

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.

Estimating Undocumented Homicides with Two Lists and List Dependence

Kristian Lum and Patrick Ball. 2015. Human Rights Data Analysis Group (April 2). © 2015 HRDAG.Creative Commons BY-NC-SA.

Frequently Asked Questions

Multiple Systems Estimation What is MSE?  What do you mean by statistical inference?  What is an overlap, and how do we know when lists overlap?   How does MSE find the total number of violations?  How was MSE originally developed?  How does the Benetech Human Rights Program use MSE?    1. What is MSE? A: Multiple Systems Estimation, or MSE, is a family of techniques for statistical inference. MSE uses the overlaps between several incomplete lists of human rights violations to determine the total number of violations. Return to Top 2. What do you mean by statistical inference? A: ...

Stephen Fienberg 1942-2016

We are saddened by the passing of Steve Fienberg yesterday in Pittsburgh, at the age of 74. He is perhaps best known around the world for bringing statistics to science and public policy and was a beloved professor at Carnegie Mellon University. At HRDAG we are in awe of and grateful for the work Steve did formalizing multiple systems estimation. His work on that front blazed a trail and essentially enabled all of our most important analytical work at the intersection of human rights and statistical science. If we are to reduce the amount of human violence in the world, the first task is to determine the scope of the violence, to know how much of ...

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.

New Study Argues War Deaths Are Often Overestimated

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.

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.

Donate

HRDAG

Selected projects

Stay informed about our work

©2025 Human Rights Data Analysis Group. Some rights reserved.
HRDAG is a non-profit project of Community Partners®, tax ID 95-4302067
Privacy Policy