Network Sciences

Objective

Network Sciences

Bring together government, industry and academic institutions to perform foundational, cross-cutting research for a fundamental understanding of interactions, interdependencies, and common underlying science among multi-genre (social/cognitive, information, and communications) networks. Prediction and control of the composite behavior of these complex interacting networks will ultimately enhance effectiveness of Army systems and operations.

Overview Briefing

Contact Information

Collaborative Alliance Manager:
Greg Cirincione
gregory.h.cirincione.civ@mail.mil

Consortium Program Director:
Dr. Will Leland
wel@bbn.com

Research Thrusts

  • Co-Evolving Dynamic Inter-Genre Networks (friendly & adversarial)
  • Information Processing across Networks for Decision-Making: Information analytics to improve distributed decision making
  • Quality of Information for Semantically-Adaptive Networks: Controlling network behaviors to maximize relevant information delivery
  • Trust, Influence, Modeling, & Enhancing Human Performance

Principal Members

  • Raytheon BBN Technologies (Lead)
  • City University of New York
  • IBM
  • Northeastern University
  • Pennsylvania State University
  • Rensselaer Polytechnic Institute
  • University of Illinois-Urbana Champaign
  • University of Southern California
  • University of California Davis
  • University of California Santa Barbara

General Members

  • ArtisTech
  • Carnegie Mellon University
  • Cornell University
  • Northwestern University
  • Notre Dame
  • Purdue University
  • University of Massachusetts at Amherst
  • University of California Riverside
 

Last Update / Reviewed: November 23, 2016