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HRDAG at Strata Conference 2014
Comments to the article ‘Is Violence Against Union Members in Colombia Systematic and Targeted?
Megan Price and Daniel Guzmán. “Comments to the article ‘Is Violence Against Union Members in Colombia Systematic and Targeted?’” 28 May 2010. (Available in Spanish) © 2010 Benetech. Creative Commons BY-NC-SA.
Quantifying Police Misconduct in Louisiana
Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities.
Françoise Roth, Tamy Guberek, and Amelia Hoover Green. “Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities.” A report by the Benetech Human Rights Program and Corporación Punto de Vista. 22 March 2011. (Spanish.) © 2011 Benetech. Creative Commons BY-NC-SA.
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.
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.
How much faith can we place in coronavirus antibody tests?
HRDAG and #GivingTuesday 2018
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.
The World According to Artificial Intelligence (Part 1)
The World According to Artificial Intelligence: Targeted by Algorithm (Part 1)
The Big Picture: The World According to AI explores how artificial intelligence is being used today, and what it means to those on its receiving end.
Patrick Ball is interviewed: “Machine learning is pretty good at finding elements out of a huge pool of non-elements… But we’ll get a lot of false positives along the way.”
How We Choose Projects
Patrick Ball wins the Karl E. Peace Award
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Measuring lethal counterinsurgency violence in Amritsar District, India using a referral-based sampling technique
Romesh Silva, Jeff Klingner, and Scott Weikart. “Measuring lethal counterinsurgency violence in Amritsar District, India using a referral-based sampling technique.” In JSM Proceedings, Social Statistics Section. Alexandria, VA: American Statistical Association, 2010. © 201o JSM. All rights reserved.
HRDAG Retreat 2018
HRDAG Retreat 2015
Why It Took So Long To Update the U.N.-Sponsored Syria Death Count
In this story, Carl Bialik of FiveThirtyEight interviews HRDAG executive director Patrick Ball about the process of de-duplication, integration of databases, and machine-learning in the recent enumeration of reported casualties in Syria.
New reports of old deaths come in all the time, Ball said, making it tough to maintain a database. The duplicate-removal process means “it’s a lot like redoing the whole project each time,” he said.
Amnesty International Reports Organized Murder Of Detainees In Syrian Prison
Reports of torture and disappearances in Syria are not new. But the Amnesty International report says the magnitude and severity of abuse has “increased drastically” since 2011. Citing the Human Rights Data Analysis Group, the report says “at least 17,723 people were killed in government custody between March 2011 and December 2015, an average of 300 deaths each month.”
Unbiased algorithms can still be problematic
“Usually, the thing you’re trying to predict in a lot of these cases is something like rearrest,” Lum said. “So even if we are perfectly able to predict that, we’re still left with the problem that the human or systemic or institutional biases are generating biased arrests. And so, you still have to contextualize even your 100 percent accuracy with is the data really measuring what you think it’s measuring? Is the data itself generated by a fair process?”
HRDAG Director of Research Patrick Ball, in agreement with Lum, argued that it’s perhaps more practical to move it away from bias at the individual level and instead call it bias at the institutional or structural level. If a police department, for example, is convinced it needs to police one neighborhood more than another, it’s not as relevant if that officer is a racist individual, he said.
Speaking Stats to Justice: Expert Testimony in a Guatemalan Human Rights Trial Based on Statistical Sampling
Daniel Guzmán (2011) Speaking Stats to Justice: Expert Testimony in a Guatemalan Human Rights Trial Based on Statistical Sampling, CHANCE, American Statistical Association, 24, (3), Alexandria, VA. © 2011 CHANCE. All rights reserved.