711 results for search: %ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%BC%ED%95%9C%EB%8C%80%ED%99%94%E2%97%86%EB%AF%B8%EC%8A%A4%ED%8F%B0%ED%8C%85%E3%85%A1%C6%9C%C6%9C%C6%9C_BOYO_P%C6%9C%E2%97%86%20%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%BC%ED%95%9C%EA%B1%B0%20%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%A0%EC%9D%B8%EB%A7%8C%EB%93%A4%EA%B8%B0%C2%AE%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%A0%EC%9D%B8%EB%8C%80%ED%96%89%F0%9F%91%A8%F0%9F%8F%BE%E2%80%8D%F0%9F%A4%9D%E2%80%8D%F0%9F%91%A8%F0%9F%8F%BC%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%A0%EC%9D%B8%EA%B5%AC%ED%95%98%EA%B8%B0%20%E4%A4%93%E8%96%BAschedule%ED%8F%B0%EC%84%B9%ED%95%A0%EB%85%80%EC%95%BC%ED%95%9C%EB%8C%80%ED%99%94/feed/content/colombia/privacy
Release of Yellow Book Calls on Salvadoran Military to Open Archives
Our Thoughts on the Violence in Charlottesville
Selection Bias and the Statistical Patterns of Mortality in Conflict.
Megan Price and Patrick Ball. 2015. Statistical Journal of the IAOS 31: 263–272. doi: 10.3233/SJI-150899. © IOS Press and the authors. All rights reserved. Creative Commons BY-NC-SA.
Ciencia de datos para trazar un mapa de la crueldad a la mexicana
From the article: Esta entidad, que existe desde 1991, es liderada por su fundador, Patrick Ball, un científico que acumula una experiencia de más de 25 años realizando análisis cuantitativos en los lugares y en las situaciones más convulsos del planeta. Sobre su colaboración con el proyecto del predictor de fosas clandestinas en México, único en el mundo, Ball afirmó en entrevista:
“Cuando hablamos de crímenes de lesa humanidad estamos hablando de instituciones, de organizaciones grandes, cometiendo miles o centenares de miles de violaciones a víctimas distribuidas sobre una geografía enorme. Para entender los patrones en esas violaciones, la estadística puede brindar una mirada sobre quiénes son los responsables materiales e intelectuales, quiénes son las víctimas y dónde o cuándo pasaron esas violaciones. Pero la estadística no es contabilidad, pues no estamos hablando solamente de las violaciones que podemos ver, sino que también debemos calcular las violaciones no observadas, las escondidas, invisibles, para incluir en nuestro análisis la totalidad de las violaciones”.
Using Machine Learning to Help Human Rights Investigators Sift Massive Datasets
HRDAG and the Trial of José Efraín Ríos Montt
Where Stats and Rights Thrive Together
HRDAG – 25 Years and Counting
Gaza death toll 40% higher than official number, Lancet study finds
“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.”
Karl E. Peace Award Recognizes Work of Patrick Ball
The American Statistical Association’s 2018 Karl E. Peace Award for Outstanding Statistical Contributions for the Betterment of Society recently recognized the work of leading human rights mathematician Patrick Ball of the Human Rights Data Analysis Group (HRDAG). The award is presented annually to statisticians whose exemplary statistical research is matched by the impact their work has had on the lives of people.
Established by the family of Karl E. Peace in honor of his work for the good of society, the award—announced at the Joint Statistical Meetings—is bestowed upon distinguished individual(s) who have made substantial contributions to the statistical profession, contributions that have led in direct ways to improving the human condition. Recipients will have demonstrated through their accomplishments their commitment to service for the greater good.”
This year, Ball became the 10th recipient of the award. Read more …
Evaluation of the Database of the Kosovo Memory Book
Jule Krüger and Patrick Ball (2014). An analysis accompanying the release of the Kosovo Memory Book. December 10, 2014. © 2014 HRDAG. Creative Commons BY-NC-SA.
Una Mirada al Archivo Histórico de la Policia Nacional a Partir de un Estudio Cuantitativo
Carolina López, Beatriz Vejarano, and Megan Price. 2016. Human Rights Data Analysis Group. © 2016 HRDAG.Creative Commons BY-NC-SA.
First Things First: Assessing Data Quality Before Model Quality.
Anita Gohdes and Megan Price (2013). Journal of Conflict Resolution, Volume 57 Issue 6 December 2013. © 2013 Journal of Conflict Resolution. All rights reserved. Reprinted with permission of SAGE. [online abstract]DOI: 10.1177/0022002712459708.
Using Math and Science to Count Killings in Syria
Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation
Welcoming Our New Statistician
Quantifying Injustice
“In 2016, two researchers, the statistician Kristian Lum and the political scientist William Isaac, set out to measure the bias in predictive policing algorithms. They chose as their example a program called PredPol. … Lum and Isaac faced a conundrum: if official data on crimes is biased, how can you test a crime prediction model? To solve this technique, they turned to a technique used in statistics and machine learning called the synthetic population.”
The True Dangers of AI are Closer Than We Think
William Isaac is quoted.
Middle East
At Toronto’s Tamil Fest, human rights group seeks data on Sri Lanka’s civil war casualties
Earlier this year, the Canadian Tamil Congress connected with HRDAG to bring its campaign to Toronto’s annual Tamil Fest, one of the largest gatherings of Canada’s Sri Lankan diaspora.
Ravichandradeva, along with a few other volunteers, spent the weekend speaking with festival-goers in Scarborough about the project and encouraging them to come forward with information about deceased or missing loved ones and friends.
“The idea is to collect thorough, scientifically rigorous numbers on the total casualties in the war and present them as a non-partisan, independent organization,” said Michelle Dukich, a data consultant with HRDAG.