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Court Sentences Two Former Policemen to 40 Years in Prison Todanoticia.com


Using Data and Statistics to Bring Down Dictators

In this story, Guerrini discusses the impact of HRDAG’s work in Guatemala, especially the trials of General José Efraín Ríos Montt and Colonel Héctor Bol de la Cruz, as well as work in El Salvador, Syria, Kosovo, and Timor-Leste. Multiple systems estimation and the perils of using raw data to draw conclusions are also addressed.
Megan Price and Patrick Ball are quoted, especially in regard to how to use raw data.
“From our perspective,” Price says, “the solution to that is both to stay very close to the data, to be very conservative in your interpretation of it and to be very clear about where the data came from, how it was collected, what its limitations might be, and to a certain extent to be skeptical about it, to ask yourself questions like, ‘What is missing from this data?’ and ‘How might that missing information change these conclusions that I’m trying to draw?’”


Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project

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Patrick Ball. Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project. © 1996 American Association for the Advancement of Science.


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Help Us Advance Justice And Human Rights Your donations enable HRDAG to use data science and help our partners answer important questions about human rights and patterns of mass violence. Or Write a Check If you prefer to donate by check, please make it payable to: “Community Partners for HRDAG” Mail it to: Community Partners P. O. Box 741265 Los Angeles, CA 90074-1265

About HRDAG

We are non-partisan—we do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and other international human rights treaties and instruments.

How Structuring Data Unburies Critical Louisiana Police Misconduct Data

In Orleans Parish, Louisiana, home of New Orleans, 78 percent of wrongful convictions have been linked to a police officer’s failure to share exculpatory evidence with the defense. This is a rate more than double the national average.But while these actions, or any misconduct, by law enforcement personnel may be recorded officially, the data may be difficult to use or find. Depending on a parish’s resources, the data may be archived in a non-digital format, for example, on paper.  Innocence Project New Orleans (IPNO) has as its mission the overturning of wrongful convictions in Louisiana. A police officer involved in a wrongful conviction may ...

Data Science Symposium at Vanderbilt

Patrick Ball keynoted the Data Science Symposium at Vanderbilt University.

Setting the Record Straight


Gaza: Why is it so hard to establish the death toll?

HRDAG director of research Patrick Ball is quoted in this Nature article about how body counts are a crude measure of the war’s impact and more reliable estimates will take time to compile.


Weapons of Math Destruction

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.


PredPol amplifies racially biased policing

100x100-micHRDAG associate William Isaac is quoted in this article about how predictive policing algorithms such as PredPol exacerbate the problem of racial bias in policing.


“El reto de la estadística es encontrar lo escondido”: experto en manejo de datos sobre el conflicto

In this interview with Colombian newspaper El Espectador, Patrick Ball is quoted as saying “la gente que no conoce de álgebra nunca debería hacer estadísticas” (people who don’t know algebra should never do statistics).


Momentous Verdict against Hissène Habré

Today we’re very pleased to hear of the verdict finding Hissène Habré guilty of crimes against humanity. Habré, president of Chad from 1982 to 1990, has been sentenced to life in prison in Dakar, Senegal, where he was tried. He is the first former head of state to be tried and found guilty of crimes against humanity in one country (Chad) by the courts of another country (Senegal).  Here’s more on the verdict from The Guardian. The verdict resonates especially with HRDAG because of our role in the trial. In September 2015, director of research Patrick Ball testified as an expert witness about the very high rates of prison mortality in ...

La misión de contar muertos


The Data Scientist Helping to Create Ethical Robots

Kristian Lum is focusing on artificial intelligence and the controversial use of predictive policing and sentencing programs.

What’s the relationship between statistics and AI and machine learning?

AI seems to be a sort of catchall for predictive modeling and computer modeling. There was this great tweet that said something like, “It’s AI when you’re trying to raise money, ML when you’re trying to hire developers, and statistics when you’re actually doing it.” I thought that was pretty accurate.


Download: Megan Price

nyt_square_logoExecutive director Megan Price is interviewed in The New York Times’ Sunday Review, as part of a series known as “Download,” which features a biosketch of “Influencers and their interests.”


Five Questions with Patrick Ball


One Better

The University of Michigan College of Literature, Science and the Arts profiled Patrick Ball in its fall 2016 issue of the alumni magazine. Here’s an excerpt:

Ball believes doing this laborious, difficult work makes the world a more just place because it leads to accountability.

“My part is a specific, narrow piece, which just happens to fit with the skills I have,” he says. “I don’t think that what we do is in any way the best or most important part of human rights activism. Sometimes, we are just a footnote—but we are a really good footnote.”


Data-driven development needs both social and computer scientists

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.”


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 justif...

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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