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Stephen Fienberg 1942-2016
We are saddened by the passing of Steve Fienberg yesterday in Pittsburgh, at the age of 74. He is perhaps best known around the world for bringing statistics to science and public policy and was a beloved professor at Carnegie Mellon University. At HRDAG we are in awe of and grateful for the work Steve did formalizing multiple systems estimation. His work on that front blazed a trail and essentially enabled all of our most important analytical work at the intersection of human rights and statistical science.
If we are to reduce the amount of human violence in the world, the first task is to determine the scope of the violence, to know how much of ...
Reflections: Richard Savage’s Vision Fulfilled
In 1984, as a fresh PhD, I heard Richard Savage give his presidential address at the Joint Statistical Meetings in Philadelphia. He called it "Hard/Soft Problems" and made a big pitch for statisticians to get involved in human rights data analysis. It was inspirational, and I was immediately sold. I started working with the American Statistical Association's Committee on Scientific Freedom and Human Rights (now chaired by HRDAG's own Megan Price). Over time, a growing set of statisticians became involved, initially in letter-writing campaigns to help dissident statisticians (and other quantitative academics—economists seemed to have a particular ...
HRDAG Retreat 2016
What do you get when you bring seven statisticians, one quantitative political scientist, a writer, a computer scientist, and an administrator together for four days in a vacation rental on California’s Russian River? A lot of code, a technical paper and book chapter revised, another paper started, a great hike in the Redwoods, descriptions of food poisoning and crash landings in war zones, and a lot of talk about feelings.
Did I mention feelings? On the first evening of the annual retreat of the Human Rights Data Analysis Group, executive director Megan Price asked us to go around the room and share how we were feeling on arrival. The request ...
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 ...
New results for the identification of municipalities with clandestine graves in Mexico
The goal of this project is identify Mexican municipalities with a high probability of having clandestine graves. Knowing where to search will help to create better public programs regarding missing persons in Mexico.
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.
Data ‘hashing’ improves estimate of the number of victims in databases
But while HRDAG’s estimate relied on the painstaking efforts of human workers to carefully weed out potential duplicate records, hashing with statistical estimation proved to be faster, easier and less expensive. The researchers said hashing also had the important advantage of a sharp confidence interval: The range of error is plus or minus 1,772, or less than 1 percent of the total number of victims.
“The big win from this method is that we can quickly calculate the probable number of unique elements in a dataset with many duplicates,” said Patrick Ball, HRDAG’s director of research. “We can do a lot with this estimate.”
Where Stats and Rights Thrive Together
Everyone I had the pleasure of interacting with enriched my summer in some way.
Learning a Modular, Auditable and Reproducible Workflow
The modular nature of the workflow and use of Git allowed us to work on different parts of the project from across the country.
Overbooking’s Impact on Pre-Trial Risk Assessment Tools
How do police officer booking decisions affect tools relied upon by judges?
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 ...
Identifiers of Detained Children Have Implications for Data Security and Estimation
Identifiers being sequential could make possible estimations of the population of detained children.
Welcoming Our New Statistician
Maria Gargiulo has joined HRDAG as a Statistician.
A Model to Estimate SARS-CoV-2-Positive Americans
We’ve built a model for estimating the true number of positives, using what we have determined to be the most reliable datasets—deaths.
Violence in Blue: The 2020 Update
HRDAG has refreshed a 2016 Granta article about homicides committed by police in the United States.
Scanning Documents to Uncover Police Violence
Administrative paperwork generated by police departments can hold evidence of police violence, but can present unique challenges for data processing.
India
In 2009, as Indians debated institutional reform of their security forces in the wake of the previous year's Mumbai attacks, HRDAG issued a groundbreaking report about the human cost of suspending the rule of law during a violent counterinsurgency campaign in the Indian state of Punjab. Together with our partner Ensaaf, HRDAG released findings that cast substantial doubt on the Indian government's past explanations and justifications for disappearances and extrajudicial killings during the height of the Punjab counterinsurgency in the early 1990s. These findings contribute to an increasing body of knowledge that informs policy questions about the ...
Preguntas frecuentes sobre el proyecto JEP-CEV-HRDAG de integración de datos y estimación estadística
¿Hay una fuente de información única sobre las víctimas del conflicto armado en Colombia?
No. Colombia cuenta con un amplio proceso de documentación de víctimas del conflicto armado. Cientos de entidades, organizaciones de víctimas y organizaciones de la sociedad civil han focalizado sus esfuerzos en registrar la información. Sin embargo, cada entidad u organización desarrolla este proceso con las limitaciones propias de capacidades técnicas, logísticas, sociales y de misionalidad, lo que conduce a que ninguna entidad ni organización logre documentar el universo completo de víctimas. Esto se debe a que les es imposible llegar a ...
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.
Can the Armed Conflict Become Part of Colombia’s History?
Paula Amado and María Juliana Durán Fedullo reflect on how the Truth Commission may change Colombia’s history, finally officially acknowledging the 50-year conflict and its casualties, and reckoning with who did what to whom.