To avoid costly failures and provide a 21st century infrastructure, the United States and other governments must build their critical infrastructures with a "nervous system" that collects and feeds data to places in the system that interpret it and allow better decision making.
Our center activities will perform research that will motivate the need for, provide design guidance for, and provide the clear justifications for implementers, operators and future designers of critical infrastructure systems to provide sensor data-driven awareness of the usage and condition of their systems (both for components and the entire network), and proactive, intelligent decision support and control of these critical infrastructure systems over their lifetime.
Perform research with industry and government partners to develop a thorough understanding of the data and decision support needs (human and autonomous control) in a variety of infrastructure contexts and the economic implications of delivering such support.
Perform research on sensor devices, data models, data interpretation techniques, system behavior models, or decision support frameworks that addresses the needs of a specific critical infrastructure system.
Perform research needed to develop sensor-data driven vertical decision support systems for specific critical infrastructure systems or components, from the sensors needed, to the data models used, to the algorithms and models applied to interpret that data, to the decision support needed to assist in the delivery, operation and maintenance of an infrastructure system.
Validate these systems using combinations of laboratory testbeds, actual infrastructure systems and simulations.
Perform research to explore the common aspects of the developed vertical systems to determine if common approaches or tools may be developed from these more specific solutions.
Explore new network theories concerning the value of the information provided by sensors distributed throughout a critical infrastructure network, how that information is best converted into decisions (centrally or locally), whether this decision making knowledge must be specified or can it be learned, and whether that information is able to improve the reliability, stability and quality of service of critical infrastructure systems.
Perform research to develop frameworks that assist developers of such sensor data-driven decision support systems to take advantage of the knowledge gained by this center when creating new vertical decision support systems for critical infrastructure contexts.