683 results for search: %EB%B6%88%EC%95%94%EC%97%AD%EB%8C%80%ED%99%94%E3%85%BF%EB%8F%8C%EC%8B%B1%ED%8F%B0%ED%8C%85%CE%B2WWW%EC%A9%9CRIDA%EC%A9%9C%D0%A0W%E3%85%BF%20%EB%B6%88%EC%95%94%EC%97%AD%EB%8C%80%ED%99%94%EB%B0%A9%20%EB%B6%88%EC%95%94%EC%97%AD%EB%8C%80%ED%99%94%EC%96%B4%ED%94%8C%DB%A9%EB%B6%88%EC%95%94%EC%97%AD%EB%8D%B0%EC%9D%B4%ED%8A%B8%F0%9F%91%B3%F0%9F%8F%BF%EB%B6%88%EC%95%94%EC%97%AD%EB%8D%B0%EC%9D%B4%ED%8A%B8%EC%95%B1%20%E4%95%A0%E6%86%9Asubmariner%EB%B6%88%EC%95%94%EC%97%AD%EB%8C%80%ED%99%94
Violence in Blue: The 2020 Update
HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.
Rionegro
Text in English
El uso de información de cementerios en la búsqueda de los desaparecidos: lecciones de un estudio piloto en Rionegro, Antioquia, Colombia
Entre mayo y julio de 2009, investigadores del Grupo de Análisis de Datos de Derechos Humanos de Benetech (HRDAG por su sigla en inglés), condujeron un estudio piloto que examinó los patrones de la información sobre los cadáveres sin identificar en el cementerio de Rionegro, un municipio en el departamento de Antioquia, Colombia. El estudio se realizó en apoyo a los actuales esfuerzos de la organización socia de HRDAG, EQUITAS (Equipo Colombiano Interdisciplinario de Trabajo Forense y ...
CIIDH Data – Dictionary
Version date: 2000.01.29
Current version: ATV20.1
Patrick Ball & Herbert F. Spirer
The unit of analysis for each record in this structure is VIOLATION.
Each violation was of a particular type, happened at a particular time and place, and was committed by zero, one, or several organizational perpetrators. The violation was committed against zero or one named (individually identified) victim, and zero or more anonymous (unidentified) additional victims. The violation was reported one or more times in one, two, or three source types.
Note that to count the number of times individuals suffered particular violations, users should sum either the ...
Yezidi Activists Teach HRDAG about Human Rights – updated
UPDATE (21 Dec 2014): Juan Cole is reporting that the Kurdish militia (the peshmerga) have retaken Shingal (also known as Sinjar) mountain where many Yezidi people have been trapped since 3 August 2014. They are now moving to liberate other Yezidi towns south of the mountain. The Yezidi people trapped on the mountain are now free. There is no word yet on the thousands of Yezidi people enslaved by ISIS.
ORIGINAL (19 Nov 2014): Farhad (not his real name) got the call from ISIS on his personal cell phone just after lunch: we have your sister, and we will give her back if you pay us $6000, plus $1500 for the driver.
Carrying little more than his ...
How Review of Police Data Verified Neglect of Missing Black Women
Sloppy recordkeeping by Chicago police has compromised missing persons cases. HRDAG is working with Pulitzer Prize-winning Invisible Institute to shed light on these stories.
How Data Processing Uncovers Misconduct in Use of Force in Puerto Rico
In Puerto Rico, some people are more likely to be victims of police violence than others. HRDAG processed a flood of data to illuminate the racial bias.
Human Rights and the Decentralized Web
Our partners were eager to learn and talk about emerging decentralized technology.
Tchad Foire Aux Quesions
Violations de droits de l'homme par l'Etat tchadien sous le régime de Hissène Habré
[English]
Quels sont les principaux résultats de ce rapport?
Quelles violations de droits de l'homme commises dans les prisons de la DDS ont été prouvées?
Quelle preuve il y a t-il que Habré et la direction de la DDS étaient responsables pour ces violations de droits de l'homme?
D'où proviennent les documents internes de la DDS?
En quelle mesure l'analyse comprise dans le rapport contribue t-elle a l'affaire judiciaire Hissène Habré?
Est-ce que HRDAG donne des estimations concernant le nombre total de personnes tuées dans les prisons par la DDS - les ...
Open Source Summit 2018
On October 23, 2018, Patrick Ball keynoted at the Open Source Summit in Edinburgh, Scotland.
FAQs on Predictive Policing and Bias
Last month Significance magazine published an article on the topic of predictive policing and police bias, which I co-authored with William Isaac. Since then, we've published a blogpost about it and fielded a few recurring questions. Here they are, along with our responses.
Do your findings still apply given that PredPol uses crime reports rather than arrests as training data?
Because this article was meant for an audience that is not necessarily well-versed in criminal justice data and we were under a strict word limit, we simplified language in describing the data. The data we used is a version of the Oakland Police Department’s crime report...
How Predictive Policing Reinforces Bias
Algorithmic tools like PredPol were supposed to reduce bias. But HRDAG has found that racial bias is baked into the data used to train the tools.
Clarifying the Pastand Commemorating Sri Lanka’s Disappeared: a Descriptive Analysis of Enforced Disappearances Documented by Families of the Disappeared.
Romesh Silva, Britto Fernando, and Vasuki Nesiah (2007). “Clarifying the Pastand Commemorating Sri Lanka’s Disappeared: a Descriptive Analysis of Enforced Disappearances Documented by Families of the Disappeared.” Benetech & Families of the Disappeared.
In Colombia: HRDAG and Dejusticia on the Importance of Missing Data
It’s inevitable that databases will have information gaps, and special care must be taken to account for these gaps.
Speaking Truth to Power in Chad
Our hearty congratulations to our partners at Human Rights Watch (HRW), Association des Victimes des Crimes du Régime de Hissène Habré (AVCRP), Association Tchadienne pour la Promotion et la Défense des Droits de l’Homme (PDDH), and the Fédération Internationale des ligues des Droits de l’Homme (FIDH) on today's launch of "La Plaine des mortes: Le Tchad des Hissène Habré, 1982-1990." This book chronicles the alleged human rights abuses of Hissène Habré, the president of Chad between 1982 and 1990. It is the culmination of more than 13 years of investigations, documentation and research focused on uncovering the nature of political ...
How Machine Learning Makes Visible Gender-Based Violence by Police
Sexual misconduct by police sometimes gets buried through official coding procedures. In Chicago, HRDAG processed police misconduct documents to give visibility to allegations that would otherwise be lost.
Kosovo
During the conflict between NATO and Yugoslavia in early 1999, hundreds of thousands of people fled Kosovo, and thousands more were killed. Who were the perpetrators? Statistical analysis helped answer this question.
While at the American Association for the Advancement of Science (AAAS), members of the HRDAG team wrote several reports on the conflict. With partners at ABA CEELI (American Bar Association/Central European and Eurasian Law Initiative), HRDAG submitted an expert report that was used in the trial of former Yugoslav president Slobodan Milošević at the ICTY (International Criminal Tribunal for the Former Yugoslavia) in The Hague, ...
Tech Corner
The HRDAG Tech Corner is where we collect the deeper and geekier content that we create for the website. Click the accordion blocks below to reveal each of the Tech Corner entries.
Sifting Massive Datasets with Machine Learning
Principled Data Processing
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.