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Margot is a professor in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering processes.
It took me a while to realize I had become part of the HRDAG incubator—at least that’s what it felt like to me—for young data analysts who wanted to use statistical knowledge to make a real impact on human rights debates.
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Next week, on June 11, Oxford University Press officially puts Counting Civilian Casualties: An Introduction to Recording and Estimating Nonmilitary Deaths in Conflict on the market. This textbook, edited by Taylor B. Seybolt, Jay D. Aronson, and Baruch Fischhoff, responds to the increasing concern for civilians in conflict and aims to promote scientific dialogue by highlighting the strengths and weaknesses of the most commonly used casualty recording and estimation techniques.
HRDAG is very well represented here, as our colleagues have co-authored four chapters, and Nicholas Jewell, who sits on our Science Committee, has co-authored a fifth. ...
Patrick Ball. 2015. The Bigness of Big Data: samples, models, and the facts we might find when looking at data. In The Transformation of Human Rights Fact-Finding, ed. Philip Alston and Sarah Knuckey. New York: Oxford University Press. ISBN: 9780190239497. © The Oxford University Press. All rights reserved.
James E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.
John E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.
ed. by Taylor B. Seybolt, Jay D. Aronson, and Baruch Fischhoff. Oxford University Press. © 2013 Oxford University Press. All rights reserved.
The following four chapters are included:
— Todd Landman and Anita Gohdes (2013). “A Matter of Convenience: Challenges of Non-Random Data in Analyzing Human Rights Violations in Peru and Sierra Leone.”
— Jeff Klingner and Romesh Silva (2013). “Combining Found Data and Surveys to Measure Conflict Mortality.”
— Daniel Manrique-Vallier, Megan E. Price, and Anita Gohdes (2013). “Multiple-Systems Estimation Techniques for Estimating Casualties in Armed Conflict.”
— Jule Krüger, Patrick Ball, Megan Price, and Amelia Hoover Green (2013). “It Doesn’t Add Up: Methodological and Policy Implications of Conflicting Casualty Data.”
Our partners were eager to learn and talk about emerging decentralized technology.
During the conflict between NATO and Yugoslavia in early 1999, hundreds of thousands of people fled Kosovo, and thousands more were killed. Who were the perpetrators? Statistical analysis helped answer this question.
While at the American Association for the Advancement of Science (AAAS), members of the HRDAG team wrote several reports on the conflict. With partners at ABA CEELI (American Bar Association/Central European and Eurasian Law Initiative), HRDAG submitted an expert report that was used in the trial of former Yugoslav president Slobodan Milošević at the ICTY (International Criminal Tribunal for the Former Yugoslavia) in The Hague, ...
A key point is that human rights data collection prior to the TRC largely ignored violence by the Shining Path.
Propelled by the impact of data analysis in El Salvador, Patrick Ball applied his WDWTW model to human rights information in other countries. Throughout the 1990’s, Ball worked at the American Association for the Advancement of Science (AAAS) analyzing large-scale human rights violations in Ethiopia, South Africa, Haiti and Guatemala. Together with senior scientific colleagues, including statistician Dr. Herb Spirer, Ball developed new methods for analyzing state-sanctioned violence. This chapter documents how the research expanded when a group of nongovernmental organizations in Guatemala asked the scientific community to gather and analyze ...
“Patrick Ball, a statistician at the US-based Human Rights Data Analysis Group not involved in the research, has used capture-recapture methods to estimate death tolls for conflicts in Guatemala, Kosovo, Peru and Colombia.
Ball told AFP the well-tested technique had been used for centuries and that the researchers had reached “a good estimate” for Gaza.”
“Patrick Ball, a statistician at the US-based Human Rights Data Analysis Group not involved in the research, has used capture-recapture methods to estimate death tolls for conflicts in Guatemala, Kosovo, Peru and Colombia.
Ball told AFP the well-tested technique has been used for centuries and that the researchers had reached “a good estimate” for Gaza.”
Elizabeth Eagen of the Citizens and Technology Lab at Cornell University will expand the HRDAG advisory board.
At some point in the next week, HRDAG's executive director, Patrick Ball, will be providing expert testimony in the trial of General José Efraín Ríos Montt, the de-facto president of Guatemala in 1982-1983. Gen. Ríos is being tried on charges of genocide and crimes against humanity. (His military intelligence director, Gen. Mauricio Rodríguez Sánchez is also on trial.) Patrick will testify on approximately April 15-18, 2013, and he may begin as early as this Friday, April 12.
The trial opened on March 20, 2013, in the Supreme Court building in Guatemala City. According to an Open Society Justice Initiative blogpost covering the event, the ...
Michelle spent a weekend in Toronto, Canada, reaching out to the community at TamilFest, where she and a colleague invited people to sit down and talk.
HRDAG analysis presented by Patrick found that 5 percent of the indigenous Maya Ixil population was killed in a 15-month period.
Patrick Ball and Frances Harrison (2018). How many people disappeared on 17–19 May 2009 in Sri Lanka? Human Rights Data Analysis Group. 12 December 2018.© 2018 HRDAG. Creative Commons.
Patrick Ball and Frances Harrison (2018). How many people disappeared on 17–19 May 2009 in Sri Lanka? Human Rights Data Analysis Group. 12 December 2018.© 2018 HRDAG. Creative Commons.
HRDAG is identifying and interpreting the best science we can find to shed light on the global crisis brought on by the novel coronavirus, about which we still know so little. Right now, most of the data on the virus SARS-CoV-2 and Covid-19, the condition caused by the virus, are incomplete and unrepresentative, which means that there is a great deal of uncertainty. But making sense of imperfect datasets is what we do. HRDAG is contributing to a better understanding with explainers, essays, and original research, and we are highlighting trustworthy resources for those who want to dig deeper.
Papers and articles by HRDAG
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