Publication Date
2026
College
College of Natural Resources & Sciences
Department
Mathematics & Data Science
Document Type
Poster
Description
When working to identify active serial killers, police collect data on the killer’s behavioral patterns to predict their activity. Peter Sutcliffe, also known as the Yorkshire Ripper, started killing in the 1900s and primarily targeted women from red-light districts. This project uses an agent-based modeling approach that incorporates the behavioral choices of Sutcliffe to predict the home location of a killer with similar traits. The accuracy of our model was measured by calculating the distance between the predicted and the true house location of the killer. This model shows the effectiveness of using an agent-based model to simulate a serial killer’s activity.
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