Contributed Papers
Quantifying Bias, Inequality, and Violence: Advances in Statistics and Justice
Carter ButtsChair
Social Statistics Section co: Caucus for Women in Statisticsco: History of Statistics Interest Group
About this session
This session explores cutting-edge statistical methods for analyzing disparities, crime, and social inequities in the justice system and beyond. Talks will cover diverse topics, including racial bias in prosecutorial decisions and policing, forensic error rates, measurement error in mortgage discrimination, and the statistical modeling of cartel violence and food insecurity. By leveraging nonparametric methods, causal inference, and advanced modeling techniques, these studies provide new insights into systemic inequities and the role of data in shaping policy and reform.
5 Presentations
4:05 PM - 4:20 PM
Co-authors: Sujeong Lee (Yonsei University), Sujeong Lee (Yonsei University), Won Chang (Seoul National University), Jorge Mateu (University Jaume I, Castellon, Spain), Heejin Lee (Sam Houston State University), Jaewoo Park (Yonsei University, Department of Applied Statistics)
4:20 PM - 4:35 PM
Co-authors: Yueying Hu (University of Michigan), Michael Elliott (University of Michigan), Yueying Hu (University of Michigan), Helen Meier (University of Michigan), Liang Chen (University of Michigan), Monica Walters (University of Michigan), Ketlyne Sol (University of Michigan), Laura Zahodne (University of Michigan)
4:35 PM - 4:50 PM
Co-authors: Zhuochao Huang (University of Florida), Brenden Beck (School of Criminal Justice, Rutgers University), Zhuochao Huang (University of Florida), Joseph Antonelli (University of Florida)
4:50 PM - 5:05 PM
5:05 PM - 5:20 PM
Co-authors: Charu Rajapaksha (University of Wisconsin - Whitewater, USA), Charu Rajapaksha (University of Wisconsin - Whitewater, USA)