677 results for search: %E3%80%8E%EB%8F%84%EB%B4%89%EA%B5%AC%EC%83%81%ED%99%A9%EA%B7%B9%E3%80%8F%20O6O%E3%85%A15O1%E3%85%A19997%20%EC%82%AC%EC%8B%AD%EB%8C%80%EB%8C%80%ED%99%94%EC%96%B4%ED%94%8C%20%EC%BB%A4%ED%94%8C%EC%BB%A4%EB%AE%A4%EB%8B%88%ED%8B%B0%E2%86%95%EB%AF%B8%EC%8A%A4%EB%85%80%EB%8D%B0%EC%9D%B4%ED%8C%85%E2%92%AE%EB%B0%A9%EC%95%84%EC%83%81%ED%99%A9%EA%B7%B9%20%E3%83%8D%E5%AF%9D%20bifoliate/feed/content/colombia/Co-union-violence-paper-response.pdf


Welcoming Our 2018 Data Science Fellow

Shemika Lamare has joined the HRDAG team as our new data science fellow.

Welcoming Our 2019 Human Rights Intern

Trina Reynolds-Tyler is HRDAG's 2019 Human Rights Intern.

The Limits of Observation for Understanding Mass Violence.

Megan Price and Patrick Ball. 2015. Canadian Journal of Law and Society / Revue Canadienne Droit et Société volume 30 issue 2 (June): 1-21. doi:10.1017/cls.2015.24. © Cambridge University Press. All rights reserved. Restricted access.

Corrigendum: Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY)

Responses to questions from ICTY office Corrigendum: Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY) . © 2002 AAAS and ABA CEELI.


The Profile of Human Rights Violations in Timor-Leste, 1974-1999

Romesh Silva and Patrick Ball. “The Profile of Human Rights Violations in Timor-Leste, 1974-1999″, a Report by the Benetech Human Rights Data Analysis Group to the Commission on Reception, Truth and Reconciliation. 9 February 2006.


Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY).

Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovic, and Jana Asher. Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY). © 2002 American Association for the Advancement of Science and American Bar Association Central and East European Law Initiative. [full text]


Data ‘hashing’ improves estimate of the number of victims in databases

But while HRDAG’s estimate relied on the painstaking efforts of human workers to carefully weed out potential duplicate records, hashing with statistical estimation proved to be faster, easier and less expensive. The researchers said hashing also had the important advantage of a sharp confidence interval: The range of error is plus or minus 1,772, or less than 1 percent of the total number of victims.

“The big win from this method is that we can quickly calculate the probable number of unique elements in a dataset with many duplicates,” said Patrick Ball, HRDAG’s director of research. “We can do a lot with this estimate.”


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Mailing List Subscription We use Mailchimp to help us keep track of community members who want to stay informed about what HRDAG is doing and thinking. If you self-subscribe to our list, we will never share your contact information. We will never subscribe anyone who does not explicitly agree to a subscription.  Over the course of a year, we mail quarterly letters and fundraising letters, as well as one or two updates as events demand. If, during the course of a fundraising campaign, you make a donation, we will do our best to remove you from the remainder of fundraising mailings that year. We may use your contact information to invite you to ...

Collaboration between the Colombian Truth Commission, the Special Jurisdiction for Peace, and HRDAG (Dataset)

The Colombian Truth Commission (CEV), the Special Jurisdiction for Peace (JEP), and the Human Rights Data Analysis Group (HRDAG) have worked together to integrate data and calculate statistical estimates of the number of victims of the armed conflict, including homicides, forced disappearances, kidnapping, and the recruitment of child soldiers. Data are available through National Administrative Department of Statistics (DANE), the Truth Commission, and GitHub. Published in 2023.

The Colombian Truth Commission (CEV), the Special Jurisdiction for Peace (JEP), and the Human Rights Data Analysis Group (HRDAG) have worked together to integrate data and calculate statistical estimates of the number of victims of the armed conflict, including homicides, forced disappearances, kidnapping, and the recruitment of child soldiers. Data are available through National Administrative Department of Statistics (DANE), the Truth Commission, and GitHub.


Big data may be reinforcing racial bias in the criminal justice system

Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.

Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.


Sierra Leone

Following a brutal 11-year civil war, the Parliament of Sierra Leone called for a Truth and Reconciliation Commission (TRC) to create "an impartial, historical record of the conflict", and "address impunity; respond to the needs of victims; promote healing and reconciliation; and prevent a repetition of the violations and abuses suffered." The full text of the TRC report is available on the Sierra Leone Web. HRDAG assisted the TRC to build a systematic data coding system, electronic database, and secure data analysis process to manage the thousands of statements given to them in the course of their work. Dr. Ball visited Freetown twice, and HRDAG ...

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].


Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).

Daniel R. Guzmán, Tamy Guberek, Gary M. Shapiro, Paul Zador (2009). “Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).” In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.


Welcoming our new Technical Lead

After almost two months of searching for the perfect fit, we’re very pleased to announce that Josh Shadlen has joined HRDAG as our new technical lead. Finding Josh was no easy feat. We were looking for what many people would call a “data scientist,” that is, someone with expertise in both computer science and statistics. These days, “data science” is one of the hottest fields out there. Bringing the perfect mix of academic depth and thoughtful reflection, Josh stood out for us. With prior jobs including gigs at Silicon Valley startups and Twitter, he’s got high-level (more…)

Quantitative Data Analysis and Large-Scale Human Rights Violations: An Example of Applied Statistics at the Grassroots.

Romesh Silva. “Quantitative Data Analysis and Large-Scale Human Rights Violations: An Example of Applied Statistics at the Grassroots.” Gazette of the Australian Mathematical Society. Canberra (Australia). Volume 32, Number 2, May 2005.


Using Cemetery Information in the Search for the Disappeared: Lessons from a Pilot Study in Rionegro, Antioquia

Tamy Guberek, Daniel Guzmán, and Beatriz Vejarano. “Using Cemetery Information in the Search for the Disappeared: Lessons from a Pilot Study in Rionegro, Antioquia.” In Methodological Proposals for Documenting and Searching for Missing Persons in Colombia. (Available in Spanish) © 2010 EQUITAS. All rights reserved.


Lies, Damned Lies and Official Statistics

This essay in the Health and Human Rights Journal addresses attempts to undermine Covid-19 data collection.

Preliminary Statistical Analysis of AVCRP & DDS Documents – A report to Human Rights Watch about Chad under the government of Hissène Habré


The Case Against a Golden Key

Patrick Ball (2016). The case against a golden key. Foreign Affairs. September 14, 2016.  ©2016 Council on Foreign Relations, Inc. All Rights Reserved.

Patrick Ball (2016). The case against a golden key. Foreign Affairs. September 14, 2016.  ©2016 Council on Foreign Relations, Inc. All Rights Reserved.


To predict and serve?

Kristian Lum and William Isaac (2016). To predict and serve? Significance. October 10, 2016. © 2016 The Royal Statistical Society. 

Kristian Lum and William Isaac (2016). To predict and serve? Significance. October 10, 2016. © 2016 The Royal Statistical Society. 


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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