Project Objective
This project provides an Interactive Visual Implementation System (IVIS) of terrorist acts worldwide to help researchers gain a deeper understanding of the patterns of terrorist acts over time around the world. This system aims to identify correlations, clusters, and features of different countries and parties, associated with types of attacks and casualties.
References
Project Team
Prof. Greg Watson - New York University
Adjunct Professor Data Science, Center for Data Science
Senior Research Scientist at Oak Ridge National Laboratory
Xianzhi Cao - New York University
Master’s student - Center for Data Science
Caroline Roper - New York University
Master’s student - Center for Data Science