698 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/rss2/chad-photo-essay/copyright
Clustering and Solving the Right Problem
Welcoming a New Board Member
Changes at HRDAG
Using Machine Learning to Help Human Rights Investigators Sift Massive Datasets
About HRDAG
Reflections: The G in HRDAG is the Real Fuel
Where Stats and Rights Thrive Together
Gaza death toll 40% higher than official number, Lancet study finds
“Patrick Ball, a statistician at the US-based Human Rights Data Analysis Group not involved in the research, has used capture-recapture methods to estimate death tolls for conflicts in Guatemala, Kosovo, Peru and Colombia.
Ball told AFP the well-tested technique had been used for centuries and that the researchers had reached “a good estimate” for Gaza.”
Letter from Alejandro Valencia Villa
Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation
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.
Palantir Has Secretly Been Using New Orleans to Test Its Predictive Policing Technology
One of the researchers, a Michigan State PhD candidate named William Isaac, had not previously heard of New Orleans’ partnership with Palantir, but he recognized the data-mapping model at the heart of the program. “I think the data they’re using, there are serious questions about its predictive power. We’ve seen very little about its ability to forecast violent crime,” Isaac said.
Middle East
Technical Memo for Amnesty International Report on Deaths in Detention
Megan Price, Anita Gohdes and Patrick Ball (2016). Human Rights Data Analysis Group, commissioned by Amnesty International. August 17, 2016. © 2016 HRDAG. Creative Commons BY-NC-SA.
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
Statistics and Slobodan
Patrick Ball and Jana Asher (2002). “Statistics and Slobodan: Using Data Analysis and Statistics in the War Crimes Trial of Former President Milosevic.” Chance, vol. 15, No. 4, 2002. Reprinted with permission ofChance. © 2002 American Statistical Association. All rights reserved.