With help from HRDAG, Roman Rivera built the data backbone for the Invisible Institute's Citizens Police Data Project.
This is a story about pretrial risk assessment.
Everyone I had the pleasure of interacting with enriched my summer in some way.
What follows is an elaborate criss-crossing of collaborations—retreat is a time to embrace the productivity that comes with being in the same room.
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.
The interview poses questions about Lum's focus on artificial intelligence and its impact on predictive policing and sentencing programs.
HRDAG has sampled and analyzed documents at Guatemala's AHPN and has testified against war criminals based on that analysis.
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.”
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.
HRDAG is delighted to announce five additions to our team: one new staff member, three summer interns, and one fellow.
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.
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We work around the world
Here’s more information about How We Choose Projects.
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.
Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.
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."
Today Guatemala’s former national police chief Colonel Héctor Rafael Bol de la Cruz was convicted and sentenced to 40 years in prison for his role in the 1984 kidnapping and disappearance of 27-year-old student union leader Fernando Garcia, who was last seen when officers detained him outside his home. Along with Bol de la Cruz, former senior police officer Jorge Gomez was also tried; he received a sentence of 40 years in prison. That verdict comes in part because of testimony this month by HRDAG’s Patrick Ball, who served as an expert witness and presented data analysis done with colleague Daniel Guzmán to assess the flow of thousands of ...