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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, ...

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.

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.

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.

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.

Herb Spirer, 1925 – 2018

Herb led and mentored a generation of statisticians working in human rights.

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 ...

Police Violence in Puerto Rico: Flooded with Data

Kilómetro Cero is making a comparison of police killings in Puerto Rico and police killings in the non-territorial United States, and HRDAG is helping to organize the data.

Uncovering Police Violence in Chicago: A collaboration between HRDAG and Invisible Institute

In 2014 and again in 2020, the Invisible Institute, a Chicago grassroots organization, won lawsuits that granted them access to decades of complaints of misconduct by Chicago police officers. The collection contains hundreds of thousands of pages of allegation forms, memos, various police administrative forms, interviews and testimonies, pictures, and even embedded audio files. The Institute published scanned images on the Citizens Police Data Project, and is using them for a project with HRDAG known as Beneath the Surface, which is a detailed investigation into gender-based violence by Chicago Police. Image: David Peters Often, gender-b...

BJS Report on Arrest-Related Deaths: True Number Likely Much Greater

(This post is co-authored by Patrick Ball and Kristian Lum.) Today the Bureau of Justice Statistics (BJS) released a report on their effort to document “all deaths that occur during the process of arrest in the United States.” The analysis estimates that the Arrest-Related Deaths (ARD) program covers only 34-49% of these deaths. A parallel program by the FBI (the Supplementary Homicide Reports, SHR) is estimated to cover approximately the same proportion of deaths. Even taking into consideration both programs, 28% of all police homicides remain unreported. In order to estimate the total number of homicides that appear on neither the ARD or ...

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 ...

Learning to Learn: Reflections on My Time at HRDAG

So much of what I learned at HRDAG was intangible, and I'm grateful to have been able to go deep.

Epidemiology has theories. We should study them.

With so many dashboards and shiny visualizations, how can an interested non-technical reader find good science among the noise?

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.

Always Learning

The data science field is always changing, which means that I'll always be learning.

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.

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…)

Predictive Policing Reinforces Police Bias

Issues surrounding policing in the United States are at the forefront of our national attention. Among these is the use of “predictive policing,” which is the application of statistical or machine learning models to police data, with the goal of predicting where or by whom crime will be committed in the future. Today Significance magazine published an article on this topic that I co-authored with William Isaac. Significance has kindly made this article open access (free!) for all of October. In the article we demonstrate the mechanism by which the use of predictive policing software may amplify the biases that already pervade our criminal ...

Reflections: Some Stories Shape You

The first time I met anyone at HRDAG, I was a journalist. It was 2006. I was working on a story about a graduate student at Carnegie Mellon who’d collaborated with the organization on a survey in Sierra Leone, and I contacted Patrick Ball to discuss the work. At the time, I found him challenging. But I thought his work—trying to estimate how many people were killed, or, in that study, otherwise injured, during wars—was fascinating. Over the next few years, I got to know other researchers working on similar questions. In 2008, as the war in Iraq ramped up, I spoke with epidemiologists from Johns Hopkins University, the World Health Organiz...

Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

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