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Record Linkage and Other Statistical Models for Quantifying Conflict Casualties in Syria
How do we know how many people have been killed in Syria? The hard answer is we don't. In this talk, presented at Strata, Megan Price addresses how HRDAG uses random forests, multiple systems estimation, and various Python and R packages to estimate conflict casualties.
STRATA
February 13, 2014
Santa Clara, California
Link to 10-minute talk on youtube
Back to Talks
Welcoming Our New Admistrative Coordinator
After a long search, we're pleased to welcome Suzanne Nathans as our new administrative "hub" at HRDAG. It was no easy feat to find someone whose skills and experience promise to be such a good fit with our team. Suzanne comes to HRDAG with a great deal of experience in nonprofit administration, success stories in operations, communications, and organization, and warmth and compassion. (more…)
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Civil War in Syria: The Internet as a Weapon of War
Suddeutsche Zeitung writer Hakan Tanriverdi interviews HRDAG affiliate Anita Gohdes and writes about her work on the Syrian casualty enumeration project for the UN Office of the High Commissioner for Human Rights. This article, "Bürgerkrieg in Syrien: Das Internet als Kriegswaffe," is in German.
Suddeutsche Zeitung
Hakan Tanriverdi
January 4, 2015
Link to story on SZ
Related blogpost (Updated Casualty Count for Syria)
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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. Doctorow writes:
Patrick Ball and the Human Rights Data Analysis Group applied the same statistical rigor that he uses in estimating the scale of atrocities and genocides for Truth and Reconciliation panels in countries like Syria and Guatemala to the problem of estimating killing by US cops, and came up with horrific conclusions.
Ball was responding to a set of new estima...