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The Statistics of Mortality Due to Conflict in Peru
A key point is that human rights data collection prior to the TRC largely ignored violence by the Shining Path.
Las cifras de la CVR en el 2019
Las estimaciones se estratificaron por ubicación y perpetrador.
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.
Celebrating Ten Years of Data from the AHPN
Ten years ago, in July 2005, human rights officers stumbled upon a nondescript warehouse in a commercial zone of Guatemala City and changed history. They had discovered an archive–its existence kept secret–belonging to the Guatemalan National Police, whose officers committed human rights atrocities on behalf of the government during the civil war.
Inside the building was the bureaucratic detritus typical of a large government agency: 80 million pages detailing shifts worked, tasks assigned, assignments fulfilled, workers’ whereabouts, and who was supervising whom. The documents, which were found stacked on dirty floors, shoved into bags, ...
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.
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.
Outreach at Toronto TamilFest for Counting the Dead
Michelle spent a weekend in Toronto, Canada, reaching out to the community at TamilFest, where she and a colleague invited people to sit down and talk.
Syria: No word on four abducted activists
Razan Zatouneh is an esteemed colleague of ours, and we are one of 57 organizations demanding immediate release for her and the three other human rights defenders still missing.
A year on, no information on Douma Four
The prominent Syrian human rights defenders Razan Zaitouneh, Samira Khalil, Wa’el Hamada and Nazem Hamadi – the Douma Four—remain missing a year after their abduction, 57 organizations said today. The four were abducted in Duma, a city near Damascus under the control of armed opposition groups. They should be released immediately, the groups said.
On 9 December 2013, at about 10:40 pm, a group of armed men stormed into the ...
Donate with a Donor Advised Fund
To donate to Human Rights Data Analysis Group via a Donor Advised Fund, you should follow three steps:
In your Donor Advised Fund portal, look up our fiscal sponsor Community Partners using the Tax ID 95-4302067. It is important to use the tax ID, not the name, as there are many organizations with the same or similar names.
Once you have selected Community Partners, look for a way to customize the donation or donate to a specific project that allows you to write-in the name of a fund or project. Then please write in "Human Rights Data Analysis Group."
Please email info@hrdag.org to let us know that you have sent the donation so we can make ...
CIIDH Data – Value Labels
Version date: 2000.01.29
Current version: ATV20.1
Patrick Ball & Herbert F. Spirer
v_ind
-------------+-----------
Victim |
Ethnic |
category |
| Freq.
-------------+-----------
1 Indigenous | 2,722
2 Ladino | 1,014
3 Unknown | 13,687
|
Total | 17,423
-------------+-----------
v_sex
----------+-----------
Victim |
Sex | Freq.
----------+-----------
4 F | 2,001
5 M | 11,445
6 d | 3,977
|
Total | 17,423
----------+-----------
v_eth
-------------+-----------
Victim |
Maternal |
language ...
Reality and Risk in Our Mortality Study of the Peruvian TRC
HRDAG researchers and analysts at Peru's Truth and Reconciliation Commission (TRC) estimated conflict mortality due to violence using Capture-Recapture methods.
Reflections: Minding the Gap
How might we learn what we don’t know? HRDAG associate Christine Grillo hits the wayback machine and recalls her first exposure to People Against Bad Things, ideas about bias and correlation versus causation, and truth.
Tech Note: Chicago Missing Persons
Our team was able to identify over 50 complaints related to missing persons cases.
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...
Reflections: Challenging Tasks and Meticulous Defenders
I have made it my personal objective to amplify HRDAG's message of being extra careful and scientifically rigorous with human rights data.
The UDHR Turns 70
We're thinking about how rigorous analysis can fortify debates about components of our criminal justice system such as cash bail, pretrial risk assessment and fairness in general.
HRDAG Names New Board Member Margot Gerritsen
Margot is a professor in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering processes.
Always Learning
The data science field is always changing, which means that I'll always be learning.
Report on Measures of Fairness in NYC Risk Assessment Tool
The report tries to answer the question of whether a particular risk assessment model reinforces racial inequalities in the criminal justice system.