706 results for search: %E3%80%8E%EB%85%BC%EC%82%B0%EB%8C%80%ED%99%94%E3%80%8F%20%D5%956%D5%95%E3%85%A19%D5%952%E3%85%A18998%20%EB%8F%BC%EC%A7%80%EB%9D%A0%EB%8F%8C%EC%8B%B1%EB%AA%A8%EC%9E%84%20%EC%84%B1%EC%9D%B8%EB%8D%B0%EC%9D%B4%ED%8C%85%E2%9C%BA%EB%AA%B8%EB%A7%A4%EB%85%80%EB%A7%8C%EB%82%A8%E3%8B%97%EB%B9%84%EA%B3%B5%EA%B0%9C%EB%8C%80%ED%99%94%20%E3%83%90%E5%84%AD%20herbarium/feed/content/colombia/privacy
Trips to and from Guatemala
Sierra Leone Statistical Appendix
Richard Conibere, Jana Asher, Kristen Cibella, Jana Dudukovic, Rafe Kaplan, and Patrick Ball. Sierra Leone Statistical Appendix, A Report by the Benetech Human Rights Data Analysis Group and the American Bar Association Central European and Eurasian Law Initiative to the Truth and Reconciliation Commission. October 5, 2004.
Data Collection and Documentation for Truth-Seeking and Accountability
Megan Price and Patrick Ball (2014). The Syrian Justice and Accountability Centre. © 2014 SJAC.Creative Commons BY-NC-SA.
Recognising Uncertainty in Statistics
In Responsible Data Reflection Story #7—from the Responsible Data Forum—work by HRDAG affiliates Anita Gohdes and Brian Root is cited extensively to make the point about how quantitative data are the result of numerous subjective human decisions. An excerpt: “The Human Rights Data Analysis Group are pioneering the way in collecting and analysing figures of killings in conflict in a responsible way, using multiple systems estimation.”
On the Quantification of Horror: Field Notes on Statistical Analysis of Human Rights Violations.
Patrick Ball. “On the Quantification of Horror: Field Notes on Statistical Analysis of Human Rights Violations.” in Repression and Mobilization, ed. by Christian Davenport, Hank Johnston, and Carol Mueller. Minneapolis: U Minnesota P. 2005.
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
Views to a Kill: Exploring the Implications of Source Selection in the Case of Guatemalan State Terror, 1977-1996.
Christian Davenport and Patrick Ball. “Views to a Kill: Exploring the Implications of Source Selection in the Case of Guatemalan State Terror, 1977-1996.” Journal of Conflict Resolution 46(3): 427-450. 2002.
Searching for Trends: Analyzing Patterns in Conflict Violence Data
Megan Price and Anita Gohdes (2014). Searching for Trends: Analyzing Patterns in Conflict Violence Data. Political Violence @ a Glance. © 2014 PV@G.
In Syria, Uncovering the Truth Behind a Number
Improving the estimate of U.S. police killings
Testimonials
Sierra Leone TRC Data and Statistical Appendix
Evaluating gunshot detection technology
New Estimate Of Killings By Police Is Way Higher — And Still Too Low
War and Illness Could Kill 85,000 Gazans in 6 Months
HRDAG director of research Patrick Ball is quoted in this New York Times article about a paper that models death tolls in Gaza.
Want to know a police officer’s job history? There’s a new tool
NPR Illinois has covered the new National Police Index, created by HRDAG’s Tarak Shah, Ayyub Ibrahim of Innocence Project, and Sam Stecklow of Invisible Institute.
Can We Harness AI To Fulfill The Promise Of Universal Human Rights?
The Human Rights Data Analysis Group employs AI to analyze data from conflict zones, identifying patterns of human rights abuses that might be overlooked. This assists international organizations in holding perpetrators accountable.
Quantifying Injustice
“In 2016, two researchers, the statistician Kristian Lum and the political scientist William Isaac, set out to measure the bias in predictive policing algorithms. They chose as their example a program called PredPol. … Lum and Isaac faced a conundrum: if official data on crimes is biased, how can you test a crime prediction model? To solve this technique, they turned to a technique used in statistics and machine learning called the synthetic population.”
The True Dangers of AI are Closer Than We Think
William Isaac is quoted.