BorderSafe: cross-jurisdictional information sharing, analysis, and visualization

  • Authors:

  • Siddharth Kaza;Byron Marshall;Jennifer Xu;Alan G. Wang;Hemanth Gowda;Homa Atabakhsh;Tim Petersen;Chuck Violette;Hsinchun Chen

  • Affiliations:

  • Department of Management Information Systems, University of Arizona, Tucson, Arizona;Department of Management Information Systems, University of Arizona, Tucson, Arizona;Department of Management Information Systems, University of Arizona, Tucson, Arizona;Department of Management Information Systems, University of Arizona, Tucson, Arizona;Department of Management Information Systems, University of Arizona, Tucson, Arizona;Department of Management Information Systems, University of Arizona, Tucson, Arizona;Tucson Police Department, Tucson, Arizona;Tucson Police Department, Tucson, Arizona;Department of Management Information Systems, University of Arizona, Tucson, Arizona

  • Venue:
  • ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

The BorderSafe project funded by Department of Homeland Security (DHS) and the Corporation for National Research Initiatives (CNRI) aims to develop, foster, and leverage information sharing between law enforcement agencies for border safety and national security. The partners in the project include the Artificial Intelligence (AI) Lab at the University of Arizona, Tucson Police Department (TPD), Pima County Sheriff's Department (PCSD), Tucson Customs and Border Protection (CBP), San Diego Automated Regional Justice Information System (ARJIS), and the San Diego Supercomputer Center (SDSC). We describe the three major areas of research in the BorderSafe project at the AI Lab, University of Arizona.