Network Science Research Center (NSRC)

Background

The Army battlefield of the future will be a complex, dynamic heterogeneous network involving multiple interacting actors and agents, generating a massive volume of data. The Army will require a means of controlling, channeling, directing and reshaping this dynamic and cluttered information field. ARL formed the Network Science Research Center (NSRC) to foster collaborative research needed to assess, model, predict & influence the complex behaviors & interactions between large scale and small scale communication, information and social-cognitive networks.

Collaborative focus

The NSRC provides a collaborative environment for jointly understanding the complex behaviors and interactions of large scale multi-genre networks.

Benefits

The NSRC brings together a multi-disciplinary team of researchers from across ARL’s Information & Human Sciences Campaigns to advance network science across several fronts including:

  • Design and Control of Complex Multi-Genre Networks
  • Semantically & Quality Aware Networking
  • Heterogeneous Information Fusion
  • Trust Management Theory
  • ARL Experimentation Framework: Provides an integrated environment capable of modeling & visualizing complex network science experiments
  • ARL Dynamically Allocated Virtual Clustering Management System: A cloud environment for experimentation
  • ARL Visualization Framework: A suite of visualization tools

Unique Facilities

  • Network Science Research Laboratory - infrastructure for modeling of mobile network systems providing a controlled, repeatable emulation and simulation environment for network algorithms and protocols
  • Cognitive Assessment and Simulation Engineering Laboratory (CASEL)
  • Sensor Integration Testbed Collaborative Research Environment (SITCORE)

Point of Contact

Brian Rivera, Ph.D.
Network Science Division Chief
301-394-2298
brian.m.rivera.civ@mail.mil

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Participants

Open to national and defense labs, universities and industry.

Concept of Operation

The NSRC will utilize CRADAs, MOUs, and/or MOAs to define the extent of collaboration under the center, the disposition of intellectual property, and the sharing of research outcomes and laboratory resources.