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Procès Hissène Habré : Le statisticien fait état d’un taux de mortalité de 2,37% par jour
Les auditions d’experts se poursuivent au palais de justice de Dakar sur le procès de l’ex-président tchadien Hissène Habré. Hier, c’était au tour de Patrick Ball, seul inscrit au rôle, commis par la chambre d’accusation de N’Djamena pour dresser les statistiques sur le taux de mortalité dans les centres de détention.
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.
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.
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.
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.
Fosas clandestinas en México manifiestan existencia de crímenes de lesa humanidad
Patrick Ball, estadístico norteamericano, colabora con el Programa de Derechos Humanos de la Universidad Iberoamericana en una investigación sobre fosas clandestinas.
What happens when you look at crime by the numbers
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.”
R programming language demands the right use case
Megan Price, director of research, is quoted in this story about the R programming language. “Serious data analysis is not something you’re going to do using a mouse and drop-down boxes,” said HRDAG’s director of research Megan Price. “It’s the kind of thing you’re going to do getting close to the data, getting close to the code and writing some of it yourself.”
Syrian civil war death toll exceeds 190,000, U.N. reports
Ayan Sheikh of PBS News Hour reports on the UN Office of the High Commissioner of Human Right’s release of HRDAG’s third report on reported killings in the Syrian conflict.
From the article:
The latest death toll figure covers the period from March 2011 to April of this year, came from the Human Rights Data Analysis Group and is the third study of its kind on Syria. The analysis group identified 191,269 deaths. Data was collected from five different sources to exclude inaccuracies and repetitions.
Experts Greet Kosovo Memory Book
On Wednesday, February 4, in Pristina, international experts praised the Humanitarian Law Centre’s database on victims of the Kosovo conflict, the Kosovo Memory Book. HRDAG executive director Patrick Ball is quoted in the article that appeared in Balkan Transitional Justice.
Justice by the Numbers
Wilkerson was speaking at the inaugural Conference on Fairness, Accountability, and Transparency, a gathering of academics and policymakers working to make the algorithms that govern growing swaths of our lives more just. The woman who’d invited him there was Kristian Lum, the 34-year-old lead statistician at the Human Rights Data Analysis Group, a San Francisco-based non-profit that has spent more than two decades applying advanced statistical models to expose human rights violations around the world. For the past three years, Lum has deployed those methods to tackle an issue closer to home: the growing use of machine learning tools in America’s criminal justice system.