653 results for search: %E3%80%8C%ED%98%84%EB%AA%85%ED%95%9C%20%ED%8F%B0%ED%8C%85%E3%80%8D%20O6O~5OO~%C6%BC469%20%2049%EC%82%B4%EB%82%A8%EC%84%B1%EC%84%B9%ED%8C%8C%EB%8D%B0%EC%9D%B4%ED%8C%85%2049%EC%82%B4%EB%82%A8%EC%84%B1%EC%84%B9%ED%8C%8C%EB%8F%99%EC%95%84%EB%A6%AC%E2%98%9C49%EC%82%B4%EB%82%A8%EC%84%B1%EC%84%B9%ED%8C%8C%EB%8F%99%ED%98%B8%ED%9A%8C%E2%96%9349%EC%82%B4%EB%82%A8%EC%84%B1%EC%84%B9%ED%8C%8C%EB%A7%8C%EB%82%A8%E2%93%A5%E3%82%89%E5%BF%A6hybridity/feed/rss2/chad-photo-essay/privacy
Donate
New Research on Civilian Deaths and Disappearances in El Salvador
Reflections: Growing and Learning in Guatemala
Featured Video
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 …
Letter from Alejandro Valencia Villa
Matching the Libro Amarillo to Historical Human Rights Datasets in El Salvador
Patrick Ball (2014). A memo accompanying the release of The Yellow Book. August 20, 2014. © 2014 HRDAG. Creative Commons BY-NC-SA.[pdf español]
Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation
Predictive policing violates more than it protects
William Isaac and Kristian Lum. Predictive policing violates more than it protects. USA Today. December 2, 2016. © USA Today.
The True Dangers of AI are Closer Than We Think
William Isaac is quoted.
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.”
Beautiful game, ugly truth?
Megan Price (2022). Beautiful game, ugly truth? Significance, 19: 18-21. December 2022. © The Royal Statistical Society. https://doi.org/10.1111/1740-9713.01702
verdata: An R package for analyzing data from the Truth Commission in Colombia
Maria Gargiulo, María Julia Durán, Paula Andrea Amado, and Patrick Ball (2024). verdata: An R package for analyzing data from the Truth Commission in Colombia. The Journal of Open Source Software. 6 January, 2024. 9(93), 5844, https://doi.org/10.21105/joss.05844. Creative Commons Attribution 4.0 International License.
Statistics and Slobodan
Patrick Ball and Jana Asher (2002). “Statistics and Slobodan: Using Data Analysis and Statistics in the War Crimes Trial of Former President Milosevic.” Chance, vol. 15, No. 4, 2002. Reprinted with permission ofChance. © 2002 American Statistical Association. All rights reserved.
Technical Memo for Amnesty International Report on Deaths in Detention
Megan Price, Anita Gohdes and Patrick Ball (2016). Human Rights Data Analysis Group, commissioned by Amnesty International. August 17, 2016. © 2016 HRDAG. Creative Commons BY-NC-SA.