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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.
Get Involved/Donate
Donating to HRDAG
Thank you for your interest in making a donation to the Human Rights Data Analysis Group to help us use science to support our partners in the human rights world.
You can make a donation by credit card on the Community Partners® Network for Good page. HRDAG is a "project of Community Partners," and right below the section on payment information, you'll be able to select "Human Rights Data Analysis Group" from a drop-down menu. (On most browsers, if you use this link, HRDAG will be pre-selected on the drop-down menu.)
This transaction will appear on your credit card statement as "Network for Good."
If you donate by check, ...
Rionegro
Texto en Español
Using Cemetery Information to Search for the Disappeared Lessons from a Pilot Study in Rionegro, Antioquia, Colombia
Between May and July 2009, researchers from the Benetech Human Rights Data Analysis Group (HRDAG) conducted a pilot study to examine patterns of information about unidentified bodies at a cemetery in Rionegro, a town located Antioquia, Colombia. The study was carried out to support ongoing efforts by HRDAG's partner organization EQUITAS (Colombian Interdisciplinary Team for Forensic Work and Psychosocial Assistance) to identify bodies of unknown persons in the Rionegro cemetery. EQUITAS has found that cemeteries in ...
Coming soon: HRDAG 2019 Year-End Review
The online version of the 2019 Year-End Review will appear in January 2020.
Policing
If you'd like to support HRDAG in this project, please consider making a donation via Our Donate page.
Over the last year, HRDAG has deepened the national conversation about homicides by police, predictive policing software, and the role that bail plays in the criminal justice system. Our studies describe how the racial bias inherent in police practice becomes data input to predictive policing tools. In another project, we are shining light on the iniquities of bail decisions.
TEAM
Click each team member's photo for full bio. Here's the team on Twitter.
Examining the Impact of Bail
When a defendant is detained before trial, she will face ...
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 ...
Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation
"Revolution Analytics will allow HRDAG to handle bigger data sets and leverage the power of R to accomplish this goal and uncover the truth." Director of Research Megan Price is quoted.
REVOLUTION ANALYTICS
Press release
February 4, 2014
Link to press release
Back to Press Room
Core Concepts
Inaccurate statistics can damage the credibility of human rights claims—and that's why we strive to ensure that statistics about human rights violations are generated with as much rigor and are as scientifically accurate as possible.
But, what are the pitfalls leading to inaccuracy—when, where, and how do data become compromised? How are patterns biased by having only partial data? And what are the best scientific methods for collecting, managing, processing and analyzing data?
Here are the data pitfalls that HRDAG has identified, as well as some of our approaches for meeting these challenges. We believe that human rights researchers must take ...
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.
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.
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, ...
Multiple Systems Estimation: Stratification and Estimation
<< Previous post, MSE: The Matching Process
Q10. What is stratification?
Q11. [In depth] How do HRDAG analysts approach stratification, and why is it important?
Q12. How does MSE find the total number of violations?
Q13. [In depth] What are the assumptions of two-system MSE (capture-recapture)? Why are they not necessary with three or more systems?
Q14. What statistical model(s) does HRDAG typically use to calculate MSE estimates? (more…)
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 ...
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.
Tech Note: Chicago Missing Persons
Our team was able to identify over 50 complaints related to missing persons cases.
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.
Always Learning
The data science field is always changing, which means that I'll always be learning.