Ed Kaplan, Yale University

Event Details
  • Date/Time:
    • Wednesday March 3, 2010
      10:00 am - 11:00 am
  • Location: Executive Classroom
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Ton Dieker
ISyE
Contact Ton Dieker
404-385-3140

Summaries

Summary Sentence: Terror Queues

Full Summary: Joint IE/OR Colloquium Terror Queues

Speaker
Edward H. Kaplan

William N and Marie A Professor of Management Sciences,
Yale School of Management;

Professor of Public Health,
Yale School of Public Health;

Professor of Engineering,
Yale School of Engineering and Applied Science

Abstract
This article presents the first model developed specifically for understanding the infiltration and interdiction of ongoing terror plots by undercover intelligence agents, and does so via novel application of ideas from queueing theory and Markov population processes. The resulting "terror queue" models predict the number of undetected terror threats in an area from agent activity/utilization data, and also estimate the rate with which such threats can be interdicted. The models treat terror plots as customers and intelligence agents as servers. Agents spend all of their time either detecting and infiltrating new terror plots (in which case they are "available"), or interdicting already detected terror plots (in which case they are "busy"). Initially we examine a Markov model assuming that intelligence agents, while unable to detect all plots, never err by falsely detecting fake plots. While this model can be solved numerically, a simpler Ornstein-Uhlenbeck diffusion approximation yields some results in closed form while providing nearly identical numerical performance. The transient behavior of the terror queue model is discussed briefly along with a sample sensitivity analysis to study how model predictions
compare to simulated results when using estimated versus known terror plot arrival rates. The diffusion model is then extended to allow for the false detection of fake plots. Such false detection is a real feature of counterterror intelligence given that intelligence agents or informants can make mistakes, as well as the proclivity of terrorists to deliberately broadcast false information. The false detection model is illustrated using suicide bombing data from Israel.

Bio
Professor Kaplan's research has been reported on the front pages of the New York Times and the Jerusalem Post, editorialized in the Wall Street Journal (article), recognized by the New York Times Magazine's Year in Ideas, and discussed between the covers of Time (article), Newsweek (see article), US News and World Report, Consumer Reports and the New Yorker, and in person on NBC's Today Show, the Cronkite Report, and National Public Radio
(transcript).

The author of more than 100 research articles, Professor Kaplan received both the Lanchester Prize and the Edelman Award, the two top honors in the operations research field. An elected member of both the National Academy of Engineering and the Institute of Medicine of the US National Academies, he has also twice received the prestigious Lady Davis Visiting Professorship at the Hebrew University of Jerusalem, where he has investigated AIDS policy issues facing the State of Israel.

Kaplan’s current research focuses on the application of operations research to problems in counterterrorism and
homeland security.

Additional Information

In Campus Calendar
No
Groups

H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

Invited Audience
No audiences were selected.
Categories
Seminar/Lecture/Colloquium
Keywords
modeling terror threat, queuing theory
Status
  • Created By: Barbara Christopher
  • Workflow Status: Published
  • Created On: Feb 18, 2010 - 9:52am
  • Last Updated: Oct 7, 2016 - 9:48pm