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Last Thursday, HRDAG co-founder and director of research Megan Price presented at Strata, the conference for data scientists and people who work with "big data." In her talk, she addressed the question of how we can know the actual number of conflict casualties in Syrian. Her short answer was, "We don't know." The longer answer was that we have a very good idea of how many conflict casualties have been reported, by several documentation groups, and that we're working on analyzing (more…)
(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 ...
(This post is co-authored by Patrick Ball and Kristian Lum.)
In early March, the Bureau of Justice Statistics published a report that estimated that in the period 2003-2009 and 2011, there were approximately 7427 homicides committed by police in the US. We responded that the method the analysts used, capture-recapture with two databases, is vulnerable to underestimation if the databases exhibit positive dependence. We conduct a thorough sensitivity analysis on the original independence model as applied to the police homicides databases. We used information from several other countries where our partners created multiple databases of homicides. We ...
Much of the work we do at HRDAG involves estimating the number of undocumented deaths using a statistical technique called multiple systems estimation (MSE, described in more detail here). One of our goals is to make this class of methods more broadly available to human rights researchers. In particular, we are finding that Bayesian approaches are extremely valuable for MSE. Accordingly, we are pleased to offer a new R package called dga (“decomposable graphs approach”) that performs Bayesian model averaging for MSE.
The main function in this package implements a model created by David Madigan and Jeremy York. This model was designed to ...
We’ve known for years that Beka Steorts is on the cutting-edge of statistical science, and now The MIT Technology Review has realized the same. Last week she was named one of 35 Innovators Under 35, in the category of humanitarian.
We first became familiar with Beka's work in 2013 when she was a visiting professor at Carnegie Mellon and was introduced to us by Prof. Steve Fienberg. Since then, we’ve felt very fortunate to collaborate with her on projects such as the UN enumeration of casualties in the Syrian conflict, and we look forward to many more years of work with her. She is one of several young stars we include in our superheroine hall ...
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 ...
Estimates of Killings and Disappearances in Casanare
Casanare is a large, rural department or state in Colombia that includes 19 municipalities and a population of almost 300,000 inhabitants. Located in the foothills of the Andes and on the eastern plains, Casanare has a history of violence. Multiple armed groups have operated in Casanare including paramilitaries, guerillas and the Colombian military. Many Casanare citizens have suffered violent deaths and disappearances.
But how many people have been killed or disappeared? For reasons of policy, accountability and historical clarification, this question deserves a valid answer. In February ...
¿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 ...
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.
Everyone I had the pleasure of interacting with enriched my summer in some way.
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 ...
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...
Weapons of Math Destruction: invisible, ubiquitous algorithms are ruining millions of lives. Excerpt:
As Patrick once explained to me, you can train an algorithm to predict someone’s height from their weight, but if your whole training set comes from a grade three class, and anyone who’s self-conscious about their weight is allowed to skip the exercise, your model will predict that most people are about four feet tall. The problem isn’t the algorithm, it’s the training data and the lack of correction when the model produces erroneous conclusions.
International human rights work attracts activists and lawyers, diplomats and retired politicians. One of the most admired figures in the field, however, is a ponytailed statistics guru from Silicon Valley named Patrick Ball, who has spent nearly two decades fashioning a career for himself at the intersection of mathematics and murder. You could call him a forensic humanitarian.
ed. by Taylor B. Seybolt, Jay D. Aronson, and Baruch Fischhoff. Oxford University Press. © 2013 Oxford University Press. All rights reserved.
The following four chapters are included:
— Todd Landman and Anita Gohdes (2013). “A Matter of Convenience: Challenges of Non-Random Data in Analyzing Human Rights Violations in Peru and Sierra Leone.”
— Jeff Klingner and Romesh Silva (2013). “Combining Found Data and Surveys to Measure Conflict Mortality.”
— Daniel Manrique-Vallier, Megan E. Price, and Anita Gohdes (2013). “Multiple-Systems Estimation Techniques for Estimating Casualties in Armed Conflict.”
— Jule Krüger, Patrick Ball, Megan Price, and Amelia Hoover Green (2013). “It Doesn’t Add Up: Methodological and Policy Implications of Conflicting Casualty Data.”
“I was always a math nerd. My mother has a polaroid of me in the fourth grade with my science fair project … . It was the history of mathematics. In college, I was a math major for a year and then switched to statistics.
I always wanted to work in social justice. I was raised by hippies, went to protests when I was young. I always felt I had an obligation to make the world a little bit better.”
Kristian Lum’s work on the HRDAG Policing Project is referred to here: “In fact, Lum argues, it’s not clear how well this model worked at depicting the situation in Oakland. Those data on drug crimes were biased, she now reports. The problem was not deliberate, she says. Rather, data collectors just missed some criminals and crime sites. So data on them never made it into her model.”
Excerpt:
Data scientists are programmers who ignore probability but like pretty graphs, said Patrick Ball, a statistician and human rights advocate who cofounded the Human Rights Data Analysis Group.
“Data is broken,” Ball said. “Anyone who thinks they’re going to use big data to solve a problem is already on the path to fantasy land.”
When Patrick Ball was introduced to Ibero’s database, the director of research at the Human Rights Data Analysis Group in San Francisco, California, saw an opportunity to turn the data into a predictive model. Ball, who has used similar models to document human rights violations from Syria to Guatemala, soon invited Data Cívica, a Mexico City–based nonprofit that creates tools for analyzing data, to join the project.
