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Testimonials
HRDAG is honored to work with a diverse set of partners. These organizations and the individuals that operate them are critical to our success, and our goal is to be critical to theirs. Here are a few quotes from our colleagues.
"Over the last two years, Dr Patrick Ball has spoken several times to relevant AI staff on the use (and mis-use) of quantitative data in human rights work. Each time, people rave about it afterwards commenting on Patrick's inimical skills to convey the complexity of statistical science in an accessible, relevant and fun way. This year, we also organised small meetings with individual teams who have to crunch 'big data' ...
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
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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...
You Are Not So Smart: How we miss what is missing and what to do about it
On the San Francisco program, You Are Not So Smart, HRDAG director of research Megan Price talked with host David McRaney about Syria, human rights violations, and statistical analysis. The topic was survivorship bias. Megan's part in the podcast begins around Minute 27. From the YANSS blog: "Unfortunately, survivorship bias stands between you and the epiphanies you seek."
You Are Not So Smart
March 11, 2014 (podcast April 24, 2014)
San Francisco, California
Link to YANSS podcast
@notsmartblog
@davidmcraney
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Data Mining for Good: Thoreau Center Lunch + Learn
At the Thoreau Center for Sustainability's “Lunch and Learn,” Patrick Ball spoke about “Data Mining for Good.” The talk included a discussion of how HRDAG uses random sampling, entity resolution, communications metadata, and statistical modeling to assist prosecutions of human rights violators. With an introduction by John DeCock, Chief Operating and Outreach Officer, Bioneers.
The Thoreau Center for Sustainability
Lunch and Learn
October 23, 2014
San Francisco, California
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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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Using Data and Statistics to Bring Down Dictators
In this story, Guerrini discusses the impact of HRDAG's work in Guatemala, especially the trials of General José Efraín Ríos Montt and Colonel Héctor Bol de la Cruz, as well as work in El Salvador, Syria, Kosovo, and Timor-Leste. Multiple systems estimation and the perils of using raw data to draw conclusions are also addressed.
Megan Price and Patrick Ball are quoted, especially in regard to how to use raw data.
“From our perspective,” Price says, “the solution to that is both to stay very close to the data, to be very conservative in your interpretation of it and to be very clear about where the data came from, how it was collected, what ...