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Welcoming Our 2018 Data Science Fellow
Welcoming Our 2019 Visiting Analyst
HRDAG at FAT* 2020: Pre-Trial Risk Assessment Tools
Skoll World Forum 2018
Welcoming Our 2019 Human Rights Intern
Disrupt San Francisco TechCrunch 2018
Welcoming Our 2019 Data Science Fellow
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.”
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
Are journalists lowballing the number of Iraqi war dead?
The Columbia Journalism Review investigates the casualty count in Iraq, more than a decade after the U.S. invasion. HRDAG executive director Patrick Ball is quoted. “IBC is very good at covering the bombs that go off in markets,” said Patrick Ball, an analyst at the Human Rights Data Analysis Group who says his whole career is to study “people being killed.” But quiet assassinations and military skirmishes away from the capital often receive little or no media attention.
An Award for Anita Gohdes
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.”
Reflections: The People Who Make the Data
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.
How Many Peruvians Have Died?
Patrick Ball, Jana Asher, David Sulmont, and Daniel Manrique. “How Many Peruvians Have Died?” © 2003 American Association for the Advancement of Science.
How do epidemiologists know how many people will get Covid-19?
Patrick Ball (2020). How do epidemiologists know how many people will get Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.
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.