REGAL forms partnership with Rutgers & Purdue
06/14/10 02:10PM | Category: Evacuation

REGAL is happy to announce that with the assistance of the Department of Homeland Security Science & Technologies, REGAL has formed a partnership with Rutgers University and Purdue University. Both Rutgers and Purdue have been selected to co-lead a new DHS Center of Excellence which will conduct research into the technological issues involved with maintaining homeland security.

As quoted from Rutgers and Purdue, the program will conduct research and develop technologies, tools and advanced methods for information analysis, situational awareness, decision support, information sharing and cyber infrastructure protection. Rutgers will be the lead institution for research in the data sciences, and Purdue will be the lead for research in the visualization sciences.

Rutgers CCICADA program (Command, Control, and Interoperability Center for Advance Data Analysis) mainly focuses on algorithms which create methods to challenge arising problems within the data analysis field that address present and emerging threats to homeland security. Their overall mission involves providing powerful analytical tools for information sharing, collaboration & decision support for a diverse workforce.

Purdue's VACCINE program (Visual Analytics for Command, Control and Interoperability Environments) is dedicated to creating methods and tools to analyze and manage vast amounts of information for all mission areas of homeland security. Their ultimate goal is to ensure that homeland security personnel have the necessary tools for a coordinated, coherent response to terrorist attacks, as well as, natural and man-made disasters by utilizing the best ideas from the world's top researchers and scientists.

Rutgers and Perdue not only bring experience of their valued tools, but they also have knowledge and sciences that provide powerful analytical tools for information sharing, collaboration, and decision support. This will provide a more powerful tool set, ultimately allowing for real time decision making capabilities.

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