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

This webinar session examines AI and machine learning applications for understanding safety perceptions, crime, urban design, and environmental changes. Presentations include the use of 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. The webinar also show the 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.