In Year 6, the NS CTA is a vigorous and highly productive research collaboration. The NS CTA Consortium funds 14 universities and 3 industrial research labs; our 22 research tasks involve the contributions of 73 primary researchers, including 40 faculty members, 13 senior industry researchers, and 20 government researchers. We have over 900 publications in a range of venues including Nature, Science, Physical Review, and Proceedings of the National Academy of Sciences, with over 15,000 citations to date. NS CTA researchers are editors or steering committee members for all three of the refereed journals devoted to network science.
The NS CTA research program for Y6/7 is structured as five interdisciplinary technical areas (or thrusts), each of which unites Alliance expertise in social/cognitive networks, information networks, and communication networks. These areas are Co-evolution and Dynamics of Inter-genre Networks (Co-EDIN); Information Processing Across Networks for Decision-Making (IPAN); Quality of Information for Semantically-Adaptive Networks (QoI-SAN); Trust, Influencing, Modeling & Enhancing Human Performance (TIME); and the Science of Multi-genre Network Experimentation (Exp).
We see a world, less than a decade from now, where the rapidly maturing field of network science allows us to predict and influence the behaviors of inter-genre and interdisciplinary network systems so complex that they are opaque to the best science today.
Information about Year 6-7 (2015-2016) research thrusts:
- Co-evolution and Dynamics of Inter-genre Networks (Co-EDIN): Foundational science for modeling, understanding, predicting, controlling, and optimally designing co-evolving inter-genre networks, both friendly and adversarial.
- Information Processing Across Networks for Decision-Making (IPAN): Information discovery, analysis, and presentation over multi-genre networks to improve effectiveness in distributed decision making
- Quality of Information for Semantically-Adaptive Networks (QoI-SAN): Measure, predict, and adapt composite networks to deliver the most valuable information with dynamically changing network resources, rather than the most bits, or queries.
- Trust, Influencing, Modeling & Enhancing Human Performance (TIME): Improving human performance in network environments, with a focus on phenomena of trust and influence.
- Science of Multi-genre Network Experimentation (Exp): The science and research practice of meaningful integrated experimentation in complex composite networks.
The research is motivated by Army and military needs for better capabilities for understanding, predicting, and influencing networks. Some of these needs are illustrated in a motivating mini-scenario.