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.
Your tax deductible gift helps us seek justice for victims of human rights violations, hold perpetrators accountable, and strengthen the overall human rights advocacy community.
HRDAG is a project of Community Partners, providing us with administrative infrastructure — so we can focus on our mission and work. We are grateful for your (and their) support.
The goal of this project is identify Mexican municipalities with a high probability of having clandestine graves. Knowing where to search will help to create better public programs regarding missing persons in Mexico.
HRDAG is delighted to announce five additions to our team: one new staff member, three summer interns, and one fellow.
Using multiple system estimation, we estimate the total population of social movement leaders killed in Colombia during 2018.
We work around the world
Here’s more information about How We Choose Projects.
Dr. Patrick Ball recently visited the Plutopia News Network podcast for a wide-ranging, inspiring conversation about his work for the Human Rights Data Analysis Group.
Patrick spoke about how he first discovered human rights work during his time in El Salvador with the Peace Brigades International. That led to his ongoing work as a statistician and computer programmer working to assess and analyze human rights violations. He also unpacked some common statistical techniques used by researchers at Human Rights Data Analysis Group, such as multiple systems estimation, which uses multiple different datasets to gain insights into the data we don't ...
Bailey’s analysis stemmed from data we had access to as part of our ongoing collaboration with the Invisible Institute.
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.
HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.
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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Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.
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In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.
If we could glean key missing information from those fields, we would be able to use more records.