Patrick Ball, César Rodríguez and Valentina Rozo (2018). Asesinatos de líderes sociales en Colombia en 2016–2017: una estimación del universo. Dejusticia and Human Rights Data Analysis Group. August 2018. © 2018 HRDAG. Creative Commons.
Patrick Ball, César Rodríguez and Valentina Rozo (2018). Asesinatos de líderes sociales en Colombia en 2016–2017: una estimación del universo. Dejusticia and Human Rights Data Analysis Group. August 2018. © 2018 HRDAG. Creative Commons.
HRDAG has sampled and analyzed documents at Guatemala's AHPN and has testified against war criminals based on that analysis.
Patrick Ball and Frances Harrison (2018). How many people disappeared on 17–19 May 2009 in Sri Lanka? Human Rights Data Analysis Group. 12 December 2018.© 2018 HRDAG. Creative Commons.
Patrick Ball and Frances Harrison (2018). How many people disappeared on 17–19 May 2009 in Sri Lanka? Human Rights Data Analysis Group. 12 December 2018.© 2018 HRDAG. Creative Commons.
Kristian Lum: “The historical over-policing of minority communities has led to a disproportionate number of crimes being recorded by the police in those locations. Historical over-policing is then passed through the algorithm to justify the over-policing of those communities.”
If we could glean key missing information from those fields, we would be able to use more records.
The modular nature of the workflow and use of Git allowed us to work on different parts of the project from across the country.
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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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.
In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.
HRDAG built a machine-learning tool to strip the raw data of any potentially identifying information such as names and court case numbers. There was no "acceptable error rate."
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HRDAG is delighted to announce five additions to our team: one new staff member, three summer interns, and one fellow.
HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.
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.
Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.
The summer of 2002 in Washington, DC, was steamy and hot, which is how I remember my introduction to HRDAG. I had begun working with them, while they were still at AAAS, in the late spring, learning all about their core concepts: duplicate reporting and MSE, controlled vocabularies, inter-rater reliability, data models and more. The days were long, with a second shift more often than not running late into the evening. In addition to all the learning, I also helped with matching for the Chad project – that is, identifying multiple records of the same violation – back when matching was done by hand. But it was not long after I arrived in Washington ...
Everyone I had the pleasure of interacting with enriched my summer in some way.