We aim to produce code that is clear, replicatable across machines and operating systems, and that leaves an easy-to-follow audit trail.
HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.
Kilómetro Cero is making a comparison of police killings in Puerto Rico and police killings in the non-territorial United States, and HRDAG is helping to organize the data.
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 ...
This past year at HRDAG has been about continuing efforts to uncover the truth.
Our newest Data Science Fellow, Will Taylor, is currently a doctoral student in political science and public policy at the University of Michigan.
The institution’s objectives were to learn the truth about what happened during the armed conflict.
We have accomplished so much in the last 10 years at the Historical Archive of the National Police. And yet, despite the efforts, dedication, and commitment of each person who since 2006 has worked in the AHPN, we still can not say “mission accomplished.”
In 10 years the environment at the Archive has changed so much and become so full of life. Where the building once sheltered unknown stories, over time some of those stories have been revealed. But Guatemala has a long way to go in letting the world get to know more deeply about the secrets within the documents stored there.
Guatemalans and the rest of the world have a very important ...
Help Us Advance Justice And Human Rights
Your donations enable HRDAG to use data science and help our partners
answer important questions about human rights and patterns of mass violence.
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If you prefer to donate by check, please make it payable to: “Community Partners for HRDAG”
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Solving for X documents Patrick's team as they travel to Guatemala, Kosovo, and Liberia, helping human rights supporters apply sophisticated computer analysis to human rights events.
How we built a model to search hundreds of thousands of text messages from the perpetrators of a human rights crime.
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 other international human rights treaties and instruments.
Ayyub Ibrahim, Huy Dao, and Tarak Shah (2024). “Innocence Discovery Lab - Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents." The Wrongful Conviction Law Review 5 (1):103-25. https://doi.org/10.29173/wclawr112. 31 May, 2024. Copyright (c) 2024 Ayyub Ibrahim, Huy Dao, Tarak Shah. Creative Commons Attribution 4.0 International License.
Ayyub Ibrahim, Huy Dao, and Tarak Shah (2024). “Innocence Discovery Lab – Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents.” The Wrongful Conviction Law Review 5 (1):103-25. https://doi.org/10.29173/wclawr112. 31 May, 2024. Copyright (c) 2024 Ayyub Ibrahim, Huy Dao, Tarak Shah. Creative Commons Attribution 4.0 International License.
Megan Price, Morgan Agnew, and David Peters (2020). How much faith can we place in coronavirus antibody tests? Granta. 28 April 2020. © Granta Publications 2020.
Megan Price, Morgan Agnew, and David Peters (2020). How much faith can we place in coronavirus antibody tests? Granta. 28 April 2020. © Granta Publications 2020.
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
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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.
Will you help HRDAG advance human rights?