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Controlled vocabulary

What is a controlled vocabulary? A controlled vocabulary provides the ability to transform information that has been collected on violations, victims, and perpetrators into a countable set of data categories. It is important that this process be done without discarding relevant information and without misrepresenting the collected information. Why is it necessary? The data collected about human rights violations originates from a wide range of information sources – legal case files, newspaper articles, e-mails, faxes, letters, phone conversations, testimonies, interviews, radio and television programs, video clips, and photos. This wide range of ...

Why It Took So Long To Update the U.N.-Sponsored Syria Death Count

In this story, Carl Bialik of FiveThirtyEight interviews HRDAG executive director Patrick Ball about the process of de-duplication, integration of databases, and machine-learning in the recent enumeration of reported casualties in Syria.
New reports of old deaths come in all the time, Ball said, making it tough to maintain a database. The duplicate-removal process means “it’s a lot like redoing the whole project each time,” he said.

Death Numbers

Hissène Habré, le Pinochet Africain

Civil War in Syria: The Internet as a Weapon of War

Suddeutsche Zeitung writer Hakan Tanriverdi interviews HRDAG affiliate Anita Gohdes and writes about her work on the Syrian casualty enumeration project for the UN Office of the High Commissioner for Human Rights. This article, "Bürgerkrieg in Syrien: Das Internet als Kriegswaffe," is in German. Suddeutsche Zeitung Hakan Tanriverdi January 4, 2015 Link to story on SZ Related blogpost (Updated Casualty Count for Syria) Back to Press Room

A Model to Estimate SARS-CoV-2-Positive Americans

We’ve built a model for estimating the true number of positives, using what we have determined to be the most reliable datasets—deaths.

Kristian Lum in Bloomberg

The interview poses questions about Lum's focus on artificial intelligence and its impact on predictive policing and sentencing programs.

FAT* Conference 2018

Kristian Lum spoke about "Understanding the Context and Consequences of Pre-Trial Detention" at the Conference on Fairness, Accountability, and Transparency (FAT*).

Videos

Here is a collection of videos that profile projects or features us at speaking engagements. Please get in touch with us if you have any HRDAG video or photography.

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.

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. 

Counting the Civilian Dead in Iraq

HRDAG’s Year in Review: 2020

In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.

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].

First Things First: Assessing Data Quality Before Model Quality.

Anita Gohdes and Megan Price (2013). Journal of Conflict Resolution, Volume 57 Issue 6 December 2013. © 2013 Journal of Conflict Resolution. All rights reserved. Reprinted with permission of SAGE. [online abstract]DOI: 10.1177/0022002712459708.

Foundation of Human Rights Statistics in Sierra Leone

Richard Conibere (2004). Foundation of Human Rights Statistics in Sierra Leone (abstr.), Joint Statistical Meetings. Toronto, Canada.

Beautiful game, ugly truth?

Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702

Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702

Trove to IPFS

IPFS is a peer-to-peer storage network that promotes the resiliency, immutability, and auditability of data. This README explains code written to shepherd the files from janky external USB drives to IPFS.

HRDAG’s Year in Review: 2024

In 2024, HRDAG maximized AI's strengths to support partners.

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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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