677 results for search: %E3%80%8E%EB%8F%84%EB%B4%89%EA%B5%AC%EC%83%81%ED%99%A9%EA%B7%B9%E3%80%8F%20O6O%E3%85%A15O1%E3%85%A19997%20%EC%82%AC%EC%8B%AD%EB%8C%80%EB%8C%80%ED%99%94%EC%96%B4%ED%94%8C%20%EC%BB%A4%ED%94%8C%EC%BB%A4%EB%AE%A4%EB%8B%88%ED%8B%B0%E2%86%95%EB%AF%B8%EC%8A%A4%EB%85%80%EB%8D%B0%EC%9D%B4%ED%8C%85%E2%92%AE%EB%B0%A9%EC%95%84%EC%83%81%ED%99%A9%EA%B7%B9%20%E3%83%8D%E5%AF%9D%20bifoliate/feed/content/colombia/Co-union-violence-paper-response.pdf
A Comparison of Marginal and Conditional Models for Capture–Recapture Data with Application to Human Rights Violations Data
Shira Mitchell, Al Ozonoff, Alan Zaslavsky, Bethany Hedt-Gauthier, Kristian Lum and Brent Coull (2013). A Comparison of Marginal and Conditional Models for Capture-Recapture Data with Application to Human Rights Violations Data. Biometrics, Volume 69, Issue 4, pages 1022–1032, December 2013. © 2013, The International Biometric Society. DOI: 10.1111/biom.12089.
An Award for Anita Gohdes
New Research on Civilian Deaths and Disappearances in El Salvador
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]
Ten Years and Counting in Guatemala
The Truth of Truth Commissions: Comparative Lessons from Haiti, South Africa, and Guatemala.
Audrey Chapman and Patrick Ball. “The Truth of Truth Commissions: Comparative Lessons from Haiti, South Africa, and Guatemala.” Human Rights Quarterly. 23(4):1-42. 2001
Learning a Modular, Auditable and Reproducible Workflow
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.
HRDAG Welcomes New Staff, Interns and Fellow
Machine learning is being used to uncover the mass graves of Mexico’s missing
“Patrick Ball, HRDAG’s Director of Research and the statistician behind the code, explained that the Random Forest classifier was able to predict with 100% accuracy which counties that would go on to have mass graves found in them in 2014 by using the model against data from 2013. The model also predicted the counties that did not have mass hidden graves found in them, but that show a high likelihood of the possibility. This prediction aspect of the model is the part that holds the most potential for future research.”
Quantifying Police Misconduct in Louisiana
In Solidarity
Indirect Sampling to Measure Conflict Violence: Trade-offs in the Pursuit of Data That Are Good, Cheap, and Fast
Romesh Silva and Megan Price. “Indirect Sampling to Measure Conflict Violence: Trade-offs in the Pursuit of Data That Are Good, Cheap, and Fast.” Journal of the American Medical Association. 306(5):547-548. 2011. © 2011 JAMA. All rights reserved.
Violence in Blue
Patrick Ball. 2016. Granta 134: 4 March 2016. © Granta Publications. All rights reserved.
PredPol amplifies racially biased policing
HRDAG associate William Isaac is quoted in this article about how predictive policing algorithms such as PredPol exacerbate the problem of racial bias in policing.
Pulling the Plug: Network Disruptions and Violence in the Syrian Conflict
HRDAG’s Year in Review: 2023
The Bosnian Book of the Dead: Assessment of the Database (Full Report).
Patrick Ball, Ewa Tabeau, and Philip Verwimp (2007). “The Bosnian Book of the Dead: Assessment of the Database (Full Report).” Households in Conflict Network Research Design Note 5.