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Modeling Murders: Following the Yorkshire Ripper

Presentation Year
2026
Sela
Raisl
Undergraduate Student
Mathematics & Data Science
Jacob
Lewis
Undergraduate Student
Mathematics & Data Science
Mack
Kona
Undergraduate Student
Mathematics & Data Science
College or Department
College of Natural Resources & Sciences
Short Description of your Research or Creative Project (700 characters or less)
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.
Permission to Publish Work
Yes
Presentation File Upload
Primary Contact: First Name
Alexis
Primary Contact: Last Name
Garcia
Primary Contact: Email
avg24@humboldt.edu
Primary Contact: I am a
Undergraduate Student
Primary Contact: Phone Number
(619)944-5394
Indicate File Dimensions
4'x3'