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Hunting for Mexico’s mass graves with machine learning
“The model uses obvious predictor variables, Ball says, such as whether or not a drug lab has been busted in that county, or if the county borders the United States, or the ocean, but also includes less-obvious predictor variables such as the percentage of the county that is mountainous, the presence of highways, and the academic results of primary and secondary school students in the county.”
Amstat People News for November 2021
“The 36th Rafto Prize was awarded to the Human Rights Data Analysis Group (HRDAG) for their work on uncovering large-scale human rights violations. By using statistics and data science, HRDAG documents human rights violations that might otherwise go undetected. Their approach has enabled courts to bring perpetrators to justice and given closure to affected victims and their families.”
Using Data to Reveal Human Rights Abuses
Profile touching on HRDAG’s work on the trial and conviction of Hissène Habré, its US Policing Project, data integrity, data archaeology and more.
The ghost in the machine
“Every kind of classification system – human or machine – has several kinds of errors it might make,” [Patrick Ball] says. “To frame that in a machine learning context, what kind of error do we want the machine to make?” HRDAG’s work on predictive policing shows that “predictive policing” finds patterns in police records, not patterns in occurrence of crime.
Sobre fosas clandestinas, tenemos más información que el gobierno: Ibero
El modelo “puede distinguir entre los municipios en que vamos a encontrar fosas clandestinas, y en los que es improbable que vayamos a encontrar estas fosas”, explicó Patrick Ball, estadístico estadounidense que colabora con el Programa de Derechos Humanos de la Universidad Iberoamericana de la Ciudad de México.
Want to know a police officer’s job history? There’s a new tool
NPR Illinois has covered the new National Police Index, created by HRDAG’s Tarak Shah, Ayyub Ibrahim of Innocence Project, and Sam Stecklow of Invisible Institute.
Crean sistema para predecir fosas clandestinas en México
Por ello, Human Rights Data Analysis Group (HRDAG), el Programa de Derechos Humanos de la Universidad Iberoamericana (UIA) y Data Cívica, realizan un análisis estadístico construido a partir de una variable en la que se identifican fosas clandestinas a partir de búsquedas automatizadas en medios locales y nacionales, y usando datos geográficos y sociodemográficos.
Families flock to Syria’s prisons looking for released inmates
According to the Human Rights Data Analysis Group, at least 17,723 people were killed in government custody from the start of the uprising in March 2011 to December 2015 – an average of 300 deaths each month. There are no figures for subsequent years but there is no reason to believe the killings stopped.
Inside Syria’s prisons, where an estimated 17,723 have died since 2011
Excerpt from the article: The estimate is based on reports from four organizations investigating deaths in Syria from March 15, 2011, to December, 31, 2015. From those cases, the Human Rights Data Analysis Group identified 12,270 cases with sufficient information to confirm the person was killed in detention. Using a statistical method to estimate how many victims they do not yet know about, the group came up with 17,723 cases.
Amnesty report damns Syrian government on prison abuse
An excerpt: The “It breaks the human” report released by the human rights group Amnesty International highlights new statistics from the Human Rights Data Analysis Group, or HRDAG, an organization that uses scientific approaches to analyze human rights violations.
Direct procès Habré: le taux de mortalité dans les centres de détention, au menu des débats
Statisticien, Patrick Ball est à la barre ce vendredi matin. L’expert est entendu sur le taux de mortalité dans les centres de détention au Tchad sous Habré. Désigné par la chambre d’accusation, il dira avoir axé ses travaux sur des témoignages, des données venant des victimes et des documents de la DDS (Direction de la Documentation et de la Sécurité).
Syria’s status, the migrant crisis and talking to ISIS
In this week’s “Top Picks,” IRIN interviews HRDAG executive director Patrick Ball about giant data sets and whether we can trust them. “No matter how big it is, data on violence is always partial,” he says.
Kriege und Social Media: Die Daten sind nicht perfekt
Suddeutsche Zeitung writer Mirjam Hauck interviewed HRDAG affiliate Anita Gohdes about the pitfalls of relying on social media data when interpreting violence in the context of war. This article, “Kriege und Social Media: Die Daten sind nicht perfekt,” is in German.
5 Humanitarian FOSS Projects to Watch
Dave Neary described “5 Humanitarian FOSS Projects to Watch,” listing HRDAG’s work on police homicides in the U.S. and other human rights abuses in other countries.
That Higher Count Of Police Killings May Still Be 25 Percent Too Low.
Carl Bialik of 538 Politics reports on a new HRDAG study authored by Kristian Lum and Patrick Ball regarding the Bureau of Justice Statistics report about the number of annual police killings, which was issued a few weeks ago. As Bialik writes, the HRDAG scientists extrapolated from their work in five other countries (Colombia, Guatemala, Kosovo, Sierra Leone and Syria) to estimate that the BJS study missed approximately one quarter of the total number of killings by police.
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.
New Estimate Of Killings By Police Is Way Higher — And Still Too Low
Carl Bialik of 538 Politics interviews HRDAG executive director Patrick Ball in an article about the recently released Bureau of Justice Statistics report about the number of annual police killings, both reported and unreported. As Bialik writes, this is a math puzzle with real consequences.