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How statistics lifts the fog of war in Syria

Megan Price, director of research, is quoted from her Strata talk, regarding how to handle multiple data sources in conflicts such as the one in Syria. From the blogpost:
“The true number of casualties in conflicts like the Syrian war seems unknowable, but the mission of the Human Rights Data Analysis Group (HRDAG) is to make sense of such information, clouded as it is by the fog of war. They do this not by nominating one source of information as the “best”, but instead with statistical modeling of the differences between sources.”


5 Questions for Kristian Lum

Kristian Lum discusses the challenges of getting accurate data from conflict zones, as well as her concerns about predictive policing if law enforcement gets it wrong.


How data science is changing the face of human rights

100x100siliconangleOn the heels of the Women in Data Science conference, HRDAG executive director Megan Price says, “I think creativity and communication are probably the two most important skills for a data scientist to have these days.”


Can ‘predictive policing’ prevent crime before it happens?

100x100-sciencemagHRDAG analyst William Isaac is quoted in this article about so-called crime prediction. “They’re not predicting the future. What they’re actually predicting is where the next recorded police observations are going to occur.”


Inside the Difficult, Dangerous Work of Tallying the ISIS Death Toll

HRDAG executive director Megan Price is interviewed by Mother Jones. An excerpt: “Violence can be hidden,” says Price. “ISIS has its own agenda. Sometimes that agenda is served by making public things they’ve done, and I have to assume, sometimes it’s served by hiding things they’ve done.”


Improving the estimate of U.S. police killings

Cory Doctorow of Boing Boing writes about HRDAG executive director Patrick Ball and his contribution to Carl Bialik’s article about the recently released Bureau of Justice Statistics report on the number of annual police killings, both reported and unreported, in 538 Politics.


Patrick Ball on the Perils of Misusing Human Rights Data


Calculating US police killings using methodologies from war-crimes trials

100x100-boingboing-logoCory Doctorow of Boing Boing writes about HRDAG director of research Patrick Ball’s article “Violence in Blue,” published March 4 in Granta. From the post: “In a must-read article in Granta, Ball explains the fundamentals of statistical estimation, and then applies these techniques to US police killings, merging data-sets from the police and the press to arrive at an estimate of the knowable US police homicides (about 1,250/year) and the true total (about 1,500/year). That means that of all the killings by strangers in the USA, one third are committed by the police.”


Benetech Statistical Expert Testifies in Guatemala Disappearance Case


Mining data on mutilations, beatings, murders


How statistics caught Indonesia’s war-criminals


A Human Rights Statistician Finds Truth In Numbers

The tension started in the witness room. “You could feel the stress rolling off the walls in there,” Patrick Ball remembers. “I can remember realizing that this is why lawyers wear sport coats – you can’t see all the sweat on their arms and back.” He was, you could say, a little nervous to be cross-examined by Slobodan Milosevic.


The Forensic Humanitarian

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.


Inside a Dictator’s Secret Police


Chad: Habré Knew of Deaths in His Jails


Guatemalan Ex-Cops Get 40 Years for Labor Leader’s Slaying


Searching for Trends: Analyzing Patterns in Conflict Violence Data

Megan Price and Anita Gohdes (2014). Searching for Trends: Analyzing Patterns in Conflict Violence Data. Political Violence @ a Glance. © 2014 PV@G.


How Machine Learning Protects Whistle-Blowers in Staten Island

People filed complaints against NYPD officers, and HRDAG went above and beyond to protect the privacy of the people who reported the offenses.

Quantifying Police Misconduct in Louisiana

HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.

Trove to IPFS

IPFS is a peer-to-peer storage network that promotes the resiliency, immutability, and auditability of data. This README explains code written to shepherd the files from janky external USB drives to IPFS.

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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