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Amnesty International Reports Organized Murder Of Detainees In Syrian Prison
Reports of torture and disappearances in Syria are not new. But the Amnesty International report says the magnitude and severity of abuse has “increased drastically” since 2011. Citing the Human Rights Data Analysis Group, the report says “at least 17,723 people were killed in government custody between March 2011 and December 2015, an average of 300 deaths each month.”
Even if there’s a ceasefire, thousands of deaths projected in Gaza over next 6 months
In this NPR story, HRDAG’s Patrick Ball comments on first-of-its-kind projections.
PRIO Director Henrik Urdal’s 2022 Nobel Peace Prize Shortlist
Henrik Urdal has released his final Nobel Shortlist for 2022, and HRDAG is included on it, alongside Sviatlana Tsikhanouskaya and Alexei Navalny, and others. The list highlights pro-democracy efforts, multilateral cooperation, combating religious extremism and intolerance, and the value that research and knowledge can have for promoting peace.
In Pursuit of Excellent Data Processing
Letter from the Executive Director
Welcoming Our 2019 Data Science Fellow
Disrupt San Francisco TechCrunch 2018
Skoll World Forum 2018
Reflections: It Began In Bogotá
State Violence in Guatemala, 1960-1996: A Quantitative Reflection
Patrick Ball, Paul Kobrak, Herbert F. Spirer. State Violence in Guatemala, 1960-1996: A Quantitative Reflection. © 1999 American Association for the Advancement of Science. [pdf – english] [pdf – español]
New UN report counts 191,369 Syrian-war deaths — but the truth is probably much, much worse
Amanda Taub of Vox has interviewed HRDAG executive director about 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:
Patrick Ball, Executive Director of the Human Rights Data Analysis Group and one of the report’s authors, explained to me that this new report is not a statistical estimate of the number of people killed in the conflict so far. Rather, it’s an actual list of specific victims who have been identified by name, date, and location of death. (The report only tracked violent killings, not “excess mortality” deaths from from disease or hunger that the conflict is causing indirectly.)
Reflections: The G in HRDAG is the Real Fuel
Machine learning is being used to uncover the mass graves of Mexico’s missing
“Patrick Ball, HRDAG’s Director of Research and the statistician behind the code, explained that the Random Forest classifier was able to predict with 100% accuracy which counties that would go on to have mass graves found in them in 2014 by using the model against data from 2013. The model also predicted the counties that did not have mass hidden graves found in them, but that show a high likelihood of the possibility. This prediction aspect of the model is the part that holds the most potential for future research.”
Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).
Daniel R. Guzmán, Tamy Guberek, Gary M. Shapiro, Paul Zador (2009). “Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).” In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.
Big data may be reinforcing racial bias in the criminal justice system
Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.
HRDAG’s Year in Review: 2024
The story of one document inside the AHPN
PredPol amplifies racially biased policing
HRDAG associate William Isaac is quoted in this article about how predictive policing algorithms such as PredPol exacerbate the problem of racial bias in policing.