Area XI. Methodology / 80. Advances in Quantitative Methods

Generative AI in Selected Criminal Justice Applications: Advantages and Limitations - Douglas Salane, John Jay College of Criminal Justice, CUNY

Beyond Detection: Generating Risk Factors for Attempted Looting via Unsupervised Automated Algorithmic Detection - Michelle Fabiani, University of New Haven; Shivanjali Khare, University of New Haven; Thomas Powell, University of New Haven; Jafar Vohra, University of New Haven; Kalyna Yurchuk, University of New Haven

Key Predictors of Bullying: Global Trends from 2001–2014 via Interpretable Machine Learning - Heejin Lee, Sam Houston State University; Pamela Wilcox, Pennsylvania State University; Won Chang, Seoul National University

Predicting Adolescent Nicotine Vaping: A Machine Learning Approach to Identifying Complex Risk Factors - Siyang Ni, Pennsylvania State University; Jeremy Staff, Pennsylvania State University

Douglas Salane, John Jay College of Criminal Justice, CUNY