Detecting Serial Killers with Data

The New Yorker’s article “The Serial-Killer Detector” describes how an algorithm is discovering new links between unsolved murders. By a process of data aggregating, the algorithm gathers killings that are related by method, place, and time, and by the victim’s sex. It also considers whether the rate of unsolved murders in a city is notable, since an uncaught serial killer upends a police department’s percentages. Read more

This entry was posted in Case Studies. Bookmark the permalink.

Leave a comment