AI, machine learning and related new technologies in Criminology
Time: Thu 2024-11-07 17.30 - 19.00
Video link: Zoom (Registration required)
This webinar session examines AI and machine learning applications for understanding safety perceptions, urban design, and environmental changes. Presentations include using street view images with AI to capture subjective safety perceptions, and computer vision to test crime prevention theories by linking neighborhood aesthetics to territorial behavior. Additional studies demonstrate machine learning’s potential for tracking long-term property development and optimizing annotation techniques for neighborhood characteristics, emphasizing the balance between cost and quality in place-based data analysis.
Presenters:
Dr. Yuhao Kang – The University of Texas at Austin
Dr. Riley Tucker – The University of Chicago
Cheyenne Hodgen – PhD candidate at University of California, Irvine
Maya Moritz – PhD candidate at University of Pennsylvania
Register here
For more information
Contact person
Gabriel Gliori, Division of Urban and Regional Studies