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The Ways AI Decides How Low-Income People Work, Live, Learn, and Survive

HRDAG is mentioned in the “child welfare (sometimes called “family policing”)” section: At least 72,000 low-income children are exposed to AI-related decision-making through government child welfare agencies’ use of AI to determine if they are likely to be neglected. As a result, these children experience heightened risk of being separated from their parents and placed in foster care.


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.

Claudia Carolina López Taks

Field Consultant Carolina Lopéz has worked with the Archivo Histórico de la Policía Nacional (AHPN) in Guatemala for eight years, and is currently a member of the Archive  Technical Coordination team. A professional working within the social sciences, she prefers using alternative research on past practices to develop an understanding of the present. Her work consists primarily of monitoring and creating strategies to systematize, track and create process controls. She also has thorough knowledge of management of historical archive documents. Since 2006, Carolina has worked in quantitative research at the AHPN with HRDAG team members Patrick ...

Africa

Chad Liberia Sierra Leone South Africa

Introducing Structural Zero: a New Monthly Newsletter

A monthly newsletter exploring how math and science help us understand the world. Hi, I’m Patrick Ball. I’m a statistician, which is a type of scientist that uses mathematical analysis to try to figure out what we do and don’t know about data sets. I’m also a human rights advocate; I work with groups all over the world to help survivors in post-conflict countries understand what really happened and bring justice and accountability. It’s incredible work, and I feel grateful to do it. I want to invite you to check out a new newsletter, Structural Zero. It’s written by me and my colleagues Megan Price, Bailey Passmore, Tarak Shah, and ...

Connect with HRDAG

If you’d like to stay informed about HRDAG events, blogposts, and news, connect with us on Twitter, Facebook or through our RSS feed. We also have a LinkedIn page. You may contact us directly via email at info @ hrdag.org. A note for persons in search of assistance with specific human rights cases: We are very sorry for your troubles and your suffering; however, HRDAG does not take on casework. If you need help with a human rights case, you might consider requesting it from the International Committee of the Red Cross (www.icrc.org). Photo: U.S. National Archives

Using Data and Statistics to Bring Down Dictators

In this story, Guerrini discusses the impact of HRDAG's work in Guatemala, especially the trials of General José Efraín Ríos Montt and Colonel Héctor Bol de la Cruz, as well as work in El Salvador, Syria, Kosovo, and Timor-Leste. Multiple systems estimation and the perils of using raw data to draw conclusions are also addressed. Megan Price and Patrick Ball are quoted, especially in regard to how to use raw data. “From our perspective,” Price says, “the solution to that is both to stay very close to the data, to be very conservative in your interpretation of it and to be very clear about where the data came from, how it was collected, what ...

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...

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Donate with Cryptocurrency

Help HRDAG use data science to work for justice, accountability, and human rights. We are nonpartisan and nonprofit, but we are not neutral; we are always on the side of human rights. Cryptocurrency donations to 501(c)3 charities receive the same tax treatment as stocks. Your donation is a non-taxable event, meaning you do not owe capital gains tax on the appreciated amount and can deduct it on your taxes. This makes Bitcoin and other cryptocurrency donations one of the most tax efficient ways to support us. We are a team of experts in machine learning, applied and mathematical statistics, computer science, demography, and social science, and ...

Welcoming Our New HRDAG Data Scientist

Bailey joined HRDAG as a data scientist in 2022.

HRDAG Welcomes New Data Science Fellow

Alanna Flores joins HRDAG for the summer as a Data Science Fellow.

Covid-19 Research and Resources

HRDAG is identifying and interpreting the best science we can find to shed light on the global crisis brought on by the novel coronavirus, about which we still know so little. Right now, most of the data on the virus SARS-CoV-2 and Covid-19, the condition caused by the virus, are incomplete and unrepresentative, which means that there is a great deal of uncertainty. But making sense of imperfect datasets is what we do. HRDAG is contributing to a better understanding with explainers, essays, and original research, and we are highlighting trustworthy resources for those who want to dig deeper. Papers and articles by HRDAG .ugb-bbeb275 .ugb-blo...

Tech Corner

The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. You can browse by Category or scroll to view find all articles listed.

.hrdag-algo-button { margin-bottom: 23px; } .hrdag-algo-button a { border-radius: 18px; background-color: #4f81ed; padding: 8px 24px; text-decoration: none; color: white; font-size: 16px; font-weight: 400 !important; text-align: center; display: inline-block; border: 1px solid transparent; transition: all 0.3s ease-in-out; } .hrdag-algo-button a:hover { color: #4f81ed; background-color: transparent; border: 1px solid #4f81ed; } .hrdag-algo-list { margin-bottom: 20px; } Using machine learning to make sense of massive caches of data Som...

Welcoming Our New Statistician

Maria Gargiulo has joined HRDAG as a Statistician.

South America

Colombia Perú

On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.

Romesh Silva and Patrick Ball. “On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.” Proceedings of the Social Statistics Section – Joint Statistical Meetings. New York, (USA). August, 2005.


Donate with Cryptocurrency

Help HRDAG use data science to work for justice, accountability, and human rights. We are nonpartisan and nonprofit, but we are not neutral; we are always on the side of human rights. Cryptocurrency donations to 501(c)3 charities receive the same tax treatment as stocks. Your donation is a non-taxable event, meaning you do not owe capital gains tax on the appreciated amount and can deduct it on your taxes. This makes Bitcoin and other cryptocurrency donations one of the most tax efficient ways to support us. We are a team of experts in machine learning, applied and mathematical statistics, computer science, demography, and social science, and ...

The Bigness of Big Data: samples, models, and the facts we might find when looking at data

Patrick Ball. 2015. The Bigness of Big Data: samples, models, and the facts we might find when looking at data. In The Transformation of Human Rights Fact-Finding, ed. Philip Alston and Sarah Knuckey. New York: Oxford University Press. ISBN: 9780190239497. © The Oxford University Press. All rights reserved.


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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