679 results for search: %E3%80%88%ED%95%98%EC%95%882%EB%8F%99%EB%8F%99%EC%95%84%EB%A6%AC%E3%80%89%20WWW-MEDA-PW%20%20%EA%B9%80%EC%A0%9C%EB%8C%81%EC%86%8C%EA%B0%9C%ED%8C%85%EC%96%B4%ED%94%8C%20%EA%B9%80%EC%A0%9C%EB%8C%81%EC%86%8C%EC%85%9C%D1%86%EA%B9%80%EC%A0%9C%EB%8C%81%EC%86%94%EB%A1%9C%D1%8B%EA%B9%80%EC%A0%9C%EB%8C%81%EC%88%9C%EC%9C%84%E3%8B%B2%E3%82%87%E8%92%80secretory/feed/content/colombia/copyright
New Research on Civilian Deaths and Disappearances in El Salvador
Data Archaeology for Human Rights in Central America: HRDAG Collaborates with UWCHR
Assessing Claims of Declining Lethal Violence in Colombia
Patrick Ball, Tamy Guberek, Daniel Guzmán, Amelia Hoover, and Meghan Lynch (2007). “Assessing Claims of Declining Lethal Violence in Colombia.” Benetech. Also available in Spanish – “Para Evaluar Afirmaciones Sobre la Reducción de la Violencia Letal en Colombia.”
Reflections: The G in HRDAG is the Real Fuel
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.”
Funding
Applications of Multiple Systems Estimation in Human Rights Research
Lum, Kristian, Megan Emily Price, and David Banks. 2013. The American Statistician 67, no. 4: 191-200. doi: 10.1080/00031305.2013.821093. © 2013 The American Statistician. All rights reserved. [free eprint may be available].
HRDAG To Join the Partnership on AI
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.
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.
Film: Solving for X
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.
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.”
Truth and Myth in Sierra Leone: An Empirical Analysis of the Conflict, 1991–2000
Tamy Guberek, Daniel Guzmán, Romesh Silva, Kristen Cibelli, Jana Asher, Scott Weikart, Patrick Ball, and Wendy Grossman. “Truth and Myth in Sierra Leone: An Empirical Analysis of the Conflict, 1991–2000″ (pdf). A report by the Benetech Human Rights Data Analysis Group and the American Bar Association. March 28, 2006.
Multiple Systems Estimation: Collection, Cleaning and Canonicalization of Data
Benetech’s Human Rights Data Analysis Group Publishes 2010 Analysis of Human Rights Violations in Five Countries,
Analysis of Uncovered Government Data from Guatemala and Chad Clarifies History and Supports Criminal Prosecutions
By Ann Harrison
The past year of research by the Benetech Human Rights Data Analysis Group (HRDAG) has supported criminal prosecutions and uncovered the truth about political violence in Guatemala, Iran, Colombia, Chad and Liberia. On today’s celebration of the 62nd anniversary of the Universal Declaration of Human Rights, HRDAG invites the international community to engage scientifically defensible methodologies that illuminate all human rights violations – including those that cannot be directly observed. 2011 will mark the 20th year that HRDAG researchers have analyzed the patterns and magnitude of human rights violations in political conflicts to determine how many of the killed and disappeared have never been accounted for – and who is most responsible.
A Universal Declaration of a Few Data Rights
To predict and serve?
Kristian Lum and William Isaac (2016). To predict and serve? Significance. October 10, 2016. © 2016 The Royal Statistical Society.