513 results for search: P Paris en direct Retrait instantané{WWW,RT33,TOP}코드 b77}Télévision en temps réelץParis sur Antigua-et-BarbudaЈemplacement rtゔOuzbékistanƛagent de laminageౡParis sur l'Angola≑équipe nationale tchèque∇Saint-Vincent-et-les Grenadines Totoぴ.jpi
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 Profile of Human Rights Violations in Timor-Leste, 1974-1999
Romesh Silva and Patrick Ball. “The Profile of Human Rights Violations in Timor-Leste, 1974-1999″, a Report by the Benetech Human Rights Data Analysis Group to the Commission on Reception, Truth and Reconciliation. 9 February 2006.
Analizando los patrones de violencia en Colombia con más de 100 bases de datos
The Demography of Large-Scale Human Rights Atrocities: Integrating demographic and statistical analysis into post-conflicthistorical clarification in Timor-Leste.
Romesh Silva and Patrick Ball. “The Demography of Large-Scale Human Rights Atrocities: Integrating demographic and statistical analysis into post-conflicthistorical clarification in Timor-Leste.” Paper presented at the 2006 meetings of the Population Association of America.
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
The Bigness of Big Data: samples, models, and the facts we might find when looking at data
Patrick Ball. 2015. The Bigness of Big Data: samples, models, and the facts we might find when looking at data. In The Transformation of Human Rights Fact-Finding, ed. Philip Alston and Sarah Knuckey. New York: Oxford University Press. ISBN: 9780190239497. © The Oxford University Press. All rights reserved.
Guatemalan National Police Archive Project
Celebrating Ten Years of Data from the AHPN
When Data Doesn’t Tell the Whole Story
Sierra Leone
Learning to Learn: Reflections on My Time at HRDAG
Welcoming Our New Foundation Relations and Strategy Lead
Data on Kosovo Killings
Celebrating Women in Statistics
In her work on statistical issues in criminal justice, Lum has studied uses of predictive policing—machine learning models to predict who will commit future crime or where it will occur. In her work, she has demonstrated that if the training data encodes historical patterns of racially disparate enforcement, predictions from software trained with this data will reinforce and—in some cases—amplify this bias. She also currently works on statistical issues related to criminal “risk assessment” models used to inform judicial decision-making. As part of this thread, she has developed statistical methods for removing sensitive information from training data, guaranteeing “fair” predictions with respect to sensitive variables such as race and gender. Lum is active in the fairness, accountability, and transparency (FAT) community and serves on the steering committee of FAT, a conference that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems.