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Beautiful game, ugly truth?
Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702
Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702
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 ...
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
HRDAG Retreat 2018
What follows is an elaborate criss-crossing of collaborations—retreat is a time to embrace the productivity that comes with being in the same room.
Welcoming Our 2019 Data Science Fellow
We’re pleased to announce that Camille Fassett has joined our team as our new data science fellow.
HRDAG and Boston PD SWAT Reports
HRDAG worked with the ACLU of Massachusetts to review Boston PD SWAT reports (these are the reports filled out before and after tactical and warrant service operations) made public under the 17F order, which requires the Mayor of Boston to release information about the Boston Police Department’s inventory of military-grade equipment, such as mine-resistant ambush-protected armored vehicles, designed for use in Iraq.
Investigating Boston Police Department SWAT Raids from 2012 to 2020
HRDAG collaborated with Data for Justice Project on a tool tool allowing members of the public to visualize and analyze nearly a decade of Boston Police ...
How Many People Will Get Covid-19?
HRDAG has authored two articles in Significance that add depth to discussions around infection rates.
String matching for governorate information in unstructured text
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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...
HRDAG Retreat 2022
A week in the California redwoods amongst a hodgepodge of people united by their passion for using quantitative analysis to combat injustice.
Reflections: Pivotal Moments in Freetown
The summer of 2002 in Washington, DC, was steamy and hot, which is how I remember my introduction to HRDAG. I had begun working with them, while they were still at AAAS, in the late spring, learning all about their core concepts: duplicate reporting and MSE, controlled vocabularies, inter-rater reliability, data models and more. The days were long, with a second shift more often than not running late into the evening. In addition to all the learning, I also helped with matching for the Chad project – that is, identifying multiple records of the same violation – back when matching was done by hand. But it was not long after I arrived in Washington ...
Trump’s “extreme-vetting” software will discriminate against immigrants “Under a veneer of objectivity,” say experts
Kristian Lum, lead statistician at the Human Rights Data Analysis Group (and letter signatory), fears that “in order to flag even a small proportion of future terrorists, this tool will likely flag a huge number of people who would never go on to be terrorists,” and that “these ‘false positives’ will be real people who would never have gone on to commit criminal acts but will suffer the consequences of being flagged just the same.”
Welcoming Our New Data Scientist
We're thrilled to announce that Tarak Shah has joined our team as our new data scientist.
Reflections: A Simple Plan
I got an email from my superheroic PhD adviser in June 2006: Would I be interested in relocating to Palo Alto for six months in order to work with Patrick Ball at the Human Rights Data Analysis Group? (She'd gotten a grant and would cover my stipend.) Since I'd spent the last several months in New Haven wrestling ineffectually with giant, brain-melting methodological problems, I said yes immediately.
The plan with my adviser was simple: I'd digitize the ancient, multiply-photocopied pages of data from the United Nations Truth Commission for El Salvador, combine them with two other datasets, match across all the records, and produce reliable ...
Data on Kosovo Killings
The data on killings in Kosovo are in four files. All of the files are comma-delimited ASCII. The fields in each file are described below.
If you use these data on Kosovo killings, please cite them with the following citation, as well as this note:
“These are convenience sample data, and as such they are not a statistically representative sample of events in this conflict. These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).”
Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data ...
Frequently Asked Questions
Multiple Systems Estimation
What is MSE?
What do you mean by statistical inference?
What is an overlap, and how do we know when lists overlap?
How does MSE find the total number of violations?
How was MSE originally developed?
How does the Benetech Human Rights Program use MSE?
1. What is MSE?
A: Multiple Systems Estimation, or MSE, is a family of techniques for statistical inference. MSE uses the overlaps between several incomplete lists of human rights violations to determine the total number of violations.
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2. What do you mean by statistical inference?
A: ...
Locating Hidden Graves in Mexico
For more than 10 years, and with regularity, Mexican authorities have been discovering mass graves, known as fosas clandestinas, in which hundreds of bodies and piles of bones have been found. The casualties are attributed broadly to the country’s “drug war,” although the motivations and perpetrators behind the mass murders are often unknown.
Recently, HRDAG collaborated with two partners in Mexico—Data Cívica and Programa de Derechos Humanos of the Universidad Iberoamericana—to model the probability of identifying a hidden grave in each county (municipio). The model uses an set of independent variables and data about graves from 2013 ...
Chad
Hissène Habré's rule over the former French colony of Chad, from 1982 to 1990, was marked by numerous and credible allegations of systematic torture and crimes against humanity. Habré claims that he was not aware of violations committed by the Documentation and Security Directorate (DDS), the state security force that pursued political opponents and operated notorious prisons during his regime.
In January 2010, the Human Rights Data Analysis Group (HRDAG) released a new study showing that Habré was well informed of the hundreds of deaths that occurred in prisons operated by the DDS. The HRDAG report, State Coordinated Violence in Chad under ...
Multiple Systems Estimation: Collection, Cleaning and Canonicalization of Data
<< Previous post: MSE: The Basics
Q3. What are the steps in an MSE analysis?
Q4. What does data collection look like in the human rights context? What kind of data do you collect?
Q5. [In depth] Do you include unnamed or anonymous victims in the matching process?
Q6. What do you mean by "cleaning" and "canonicalization?"
Q7. [In depth] What are some of the challenges of canonicalization? (more…)
Why raw data doesn't support analysis of violence
This morning I got a query from a journalist asking for our data from the report we published yesterday. The journalist was hoping to create an interactive infographic to track the number of deaths in the Syrian conflict over time. Our data would not support an analysis like the one proposed, so I wrote this reply.
We can't send you these data because they would be misleading—seriously misleading—for the purpose you describe. Here's why:
What we have is a list of documented deaths, in essence, a highly non-random sample, though a very big one. We like bigger samples because we think that they must be closer to true. The mathematical justificat...