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
HRDAG Wins the Rafto Prize
Data ‘hashing’ improves estimate of the number of victims in databases
But while HRDAG’s estimate relied on the painstaking efforts of human workers to carefully weed out potential duplicate records, hashing with statistical estimation proved to be faster, easier and less expensive. The researchers said hashing also had the important advantage of a sharp confidence interval: The range of error is plus or minus 1,772, or less than 1 percent of the total number of victims.
“The big win from this method is that we can quickly calculate the probable number of unique elements in a dataset with many duplicates,” said Patrick Ball, HRDAG’s director of research. “We can do a lot with this estimate.”
Guatemala’s Bol de la Cruz Found Guilty
Release of Yellow Book Calls on Salvadoran Military to Open Archives
HRDAG’s Year in Review: 2022
How We Choose Projects
The UDHR Turns 70
Ten Years and Counting in Guatemala
Accountability at home and abroad
Outreach at Toronto TamilFest for Counting the Dead
HRDAG’s Year in Review: 2023
Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation
“Revolution Analytics will allow HRDAG to handle bigger data sets and leverage the power of R to accomplish this goal and uncover the truth.” Director of Research Megan Price is quoted
Core Concepts
Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis
Romesh Silva, Jasmine Marwaha and Jeff Klingner. “Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis,” A Joint Report by Benetech’s Human Rights Data Analysis Group & Ensaaf, Inc. January, 2009.
Using Cemetery Information in the Search for the Disappeared: Lessons from a Pilot Study in Rionegro, Antioquia
Tamy Guberek, Daniel Guzmán, and Beatriz Vejarano. “Using Cemetery Information in the Search for the Disappeared: Lessons from a Pilot Study in Rionegro, Antioquia.” In Methodological Proposals for Documenting and Searching for Missing Persons in Colombia. (Available in Spanish) © 2010 EQUITAS. All rights reserved.
Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).
Daniel R. Guzmán, Tamy Guberek, Gary M. Shapiro, Paul Zador (2009). “Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).” In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.
La importancia de la estadística
Patrick Ball (2018). La importancia de la estadística. Ibero. La revista de la universidad Iberoamericana. August-September 2018. © 2018 Universidad Iberoamericana Ciudad de México. Pp. 50-51.