Mathematics of Crime (Andrea Bertozzi - UCLA)
- Starts: 4:00 pm on Thursday, February 28, 2019
- Ends: 5:00 pm on Thursday, February 28, 2019
I will review research at UCLA related to the modeling and analysis of
crime patterns, most notably crime hotspots and self-excitation of crime,,
in particular gang crimes. The models include residential burglaries
using PDEs, stochastic self-exciting point process models for repeat
victimization and gang retaliation, and deep learning for real time
prediction. The point process work has led to a predictive policing
software program that is in use in over 50 cities worldwide. We have also
been analyzing videos from police body worn cameras using machine learning
methods for semi-supervised learning.
- Location:
- MCS 148, 111 Cummington Mall