692 results for search: %E3%80%8C%ED%8A%9C%EB%8B%9D%EB%90%9C%20%ED%8F%B0%ED%8C%85%E3%80%8D%20O6O~5OO~%C6%BC469%20%20%EC%9D%B4%EC%8B%AD%EB%8C%80%EB%85%80%EB%8F%99%EC%95%84%EB%A6%AC%EB%8D%B0%EC%9D%B4%ED%8C%85%20%EC%9D%B4%EC%8B%AD%EB%8C%80%EB%85%80%EB%8F%99%EC%95%84%EB%A6%AC%EB%8F%99%ED%98%B8%ED%9A%8C%E2%98%80%EC%9D%B4%EC%8B%AD%EB%8C%80%EB%85%80%EB%8F%99%EC%95%84%EB%A6%AC%EB%A7%8C%EB%82%A8%D1%87%EC%9D%B4%EC%8B%AD%EB%8C%80%EB%85%80%EB%8F%99%EC%95%84%EB%A6%AC%EB%AA%A8%EC%9E%84%E3%8A%A2%E3%83%A8%E4%9E%8Edesigning/feed/content/colombia/SV-report_2011-04-26.pdf
HRDAG Welcomes New Data Science Fellow
Covid-19 Research and Resources
Tech Corner
South America
On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.
Romesh Silva and Patrick Ball. “On the Use of Sample Surveys and Multiple Systems Estimations in Assessing Large-Scale Human Rights Violations: Recent Experiences from Timor-Leste.” Proceedings of the Social Statistics Section – Joint Statistical Meetings. New York, (USA). August, 2005.
Donate with Cryptocurrency
The Bigness of Big Data: samples, models, and the facts we might find when looking at data
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.
Free Software
Patrick Ball (2005). “Free Software,” in The Encyclopedia of Science, Technology, and Ethics. ed. by Carl Mitcham. Farmington Hills, MI: Thomson Gale.
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.
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.
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.”
Direct procès Habré: le taux de mortalité dans les centres de détention, au menu des débats
Statisticien, Patrick Ball est à la barre ce vendredi matin. L’expert est entendu sur le taux de mortalité dans les centres de détention au Tchad sous Habré. Désigné par la chambre d’accusation, il dira avoir axé ses travaux sur des témoignages, des données venant des victimes et des documents de la DDS (Direction de la Documentation et de la Sécurité).
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 its limitations might be, and to a certain extent to be skeptical about it, to ask yourself questions like, ‘What is missing from this data?’ and ‘How might that missing information change these conclusions that I’m trying to draw?’”