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Reality and risk: A refutation of S. Rendón’s analysis of the Peruvian Truth and Reconciliation Commission’s conflict mortality study
Daniel Manrique-Vallier and Patrick Ball (2019). Reality and risk: A refutation of S. Rendón’s analysis of the Peruvian Truth and Reconciliation Commission’s conflict mortality study. Research & Politics, 22 March 2019. © Sage Journals. https://doi.org/10.1177/2053168019835628
Colombia (eng)
HRDAG’s Year in Review: 2022
Reflections: The G in HRDAG is the Real Fuel
Quantitative Data Analysis and Large-Scale Human Rights Violations: An Example of Applied Statistics at the Grassroots.
Romesh Silva. “Quantitative Data Analysis and Large-Scale Human Rights Violations: An Example of Applied Statistics at the Grassroots.” Gazette of the Australian Mathematical Society. Canberra (Australia). Volume 32, Number 2, May 2005.
HRDAG’s Year in Review: 2023
Guatemalan National Police Archive Project
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.
Film: Solving for X
The Art and Science of Coding AHPN Documents
The Great Lessons in Research at the Archive
Nonprofits Are Taking a Wide-Eyed Look at What Data Could Do
In this story about how data are transforming the nonprofit world, Patrick Ball is quoted. Here’s an excerpt: “Data can have a profound impact on certain problems, but nonprofits are kidding themselves if they think the data techniques used by corporations can be applied wholesale to social problems,” says Patrick Ball, head of the nonprofit Human Rights Data Analysis Group.
Companies, he says, maintain complete data sets. A business knows every product it made last year, when it sold, and to whom. Charities, he says, are a different story.
“If you’re looking at poverty or trafficking or homicide, we don’t have all the data, and we’re not going to,” he says. “That’s why these amazing techniques that the industry people have are great in industry, but they don’t actually generalize to our space very well.”
Corrigendum: Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY)
Responses to questions from ICTY office Corrigendum: Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY) . © 2002 AAAS and ABA CEELI.
12 Questions about Using Data Analysis to Bring Guatemalan War Criminals to Justice
Theoretical limits of microclustering for record linkage
John E Johndrow, Kristian Lum and D B Dunson (2018). Theoretical limits of microclustering for record linkage. Biometrika. 19 March 2018. © 2018 Oxford University Press. DOI 10.1093/biomet/asy003.
Low-risk population size estimates in the presence of capture heterogeneity
James Johndrow, Kristian Lum and Daniel Manrique-Vallier (2019). Low-risk population size estimates in the presence of capture heterogeneity. Biometrika, asy065, 22 January 2019. © 2019 Biometrika Trust. https://doi.org/10.1093/biomet/asy065
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.