This new report by the United Nations Office of High Commissioner of Human Rights builds on three prior analyses and new statistical analysis by HRDAG on killings in Syria.
229 results for search: lemokuzo.blogspot.com/feed/rss2/publications
Courts and police departments are turning to AI to reduce bias, but some argue it’ll make the problem worse
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.”
Guatemala’s Bol de la Cruz Found Guilty
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 ...
Assassinations of social leaders in Colombia in 2016–2017
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.
Lies, Damned Lies and Official Statistics
This essay in the Health and Human Rights Journal addresses attempts to undermine Covid-19 data collection.
Quantifying Police Misconduct in Louisiana
HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.
Lessons at HRDAG: Holding Public Institutions Accountable
Principled Data Processing is a way to prove to someone, usually yourself, that what you did was right.
HRDAG Welcomes New Staff, Interns and Fellow
HRDAG is delighted to announce five additions to our team: one new staff member, three summer interns, and one fellow.
Reflections: Richard Savage’s Vision Fulfilled
In 1984, as a fresh PhD, I heard Richard Savage give his presidential address at the Joint Statistical Meetings in Philadelphia. He called it "Hard/Soft Problems" and made a big pitch for statisticians to get involved in human rights data analysis. It was inspirational, and I was immediately sold. I started working with the American Statistical Association's Committee on Scientific Freedom and Human Rights (now chaired by HRDAG's own Megan Price). Over time, a growing set of statisticians became involved, initially in letter-writing campaigns to help dissident statisticians (and other quantitative academics—economists seemed to have a particular ...
Projects
We work around the world
Here’s more information about How We Choose Projects.
String matching for governorate information in unstructured text
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Innocence Discovery Lab – Harnessing Large Language Models to Surface Data Buried in Wrongful Conviction Case Documents
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.
Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies
This Harvard Data Science Review article uses the least unreliable source of pandemic data: reported deaths.
HRDAG’s Year in Review: 2020
In 2020, HRDAG provided clarity on issues related to the pandemic, police misconduct, and more.
Lessons at HRDAG: Making More Syrian Records Usable
If we could glean key missing information from those fields, we would be able to use more records.
Evaluating gunshot detection technology
Bailey’s analysis stemmed from data we had access to as part of our ongoing collaboration with the Invisible Institute.
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
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Killings of Social Movement Leaders in Colombia
Using multiple system estimation, we estimate the total population of social movement leaders killed in Colombia during 2018.
Film: Solving for X
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.
El Salvador 1991 – Who Did What To Whom?
Members of the Salvadoran military committed tens of thousands of killings during the country’s civil war which raged from the late 1970’s until 1990. While working for a peace organization in El Salvador in 1991, Patrick Ball was asked by a colleague at a human rights group to help organize a large collection of human rights testimonies. Trained as a social scientist, Ball created the “Who Did What To Whom” (WTWTW) model for examining human rights data. Ball used this system to create a structured, relational database of violations reported in more than 9,000 testimonies to the Salvadoran Human Rights Commission.
To determine who was most ...