Member's groups
Viewing 1 - 4 of 4 groups
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Enhance cybersecurity awareness and survivability for DoD, industry partners, and academia in the face of the ever-increasing threat of cyber attacks. Cybersecurity (CS) includes managing risks related to the use, processing, storage, and transmission of information and the systems and processes used for those purposes, including analog and physical form. CS includes information availability, identification and authentication, confidentiality, integrity, and non-repudiation as well as the economic considerations with respect to selection of CS techniques, CS processes, and industry trends. -
Enable Department of Defense (DoD), civilian government, and industry organizations to acquire, develop, operate, and sustain software systems that are innovative, affordable, enduring, trustworthy and employ Software Engineering (SE) as solutions to unravel real-world problems. Software Intensive Systems Engineering (SE) includes the entire field of software and systems engineering and related technologies; specifically as related to information, documentation, databases, model and architecture repositories, analysis, training, testing, data synthesis, hardware, software, standards, economic consideration of selection of techniques and processes, and interoperability in support of the acquisition and RDT&E communities -
Enable learning and professional development by bringing together knowledge professionals in DoD, industry, academia, and professional organizations, to help solve real world, mission critical difficulties. Knowledge Management (KM) is the analysis and technical support of practices used in an organization to identify, create, represent, distribute, conduct and enable the adoption and leveraging of good practices embedded in collaborative settings and in organizational processes. Information Sharing (IS) is data exchange, communication protocols and technological infrastructures. -
Empower DoD, other government agencies, industry partners, and academia to effectively utilize modeling and simulation capabilities, including emulators, prototypes, simulators, and stimulators, either statically or over time, to develop data as a basis for making managerial or technical decisions. It includes all classes of M&S, including the interface of real-world systems with models or simulations, as well as working with model elements, standards and specifications, and modeling system descriptions, interfaces, and data communication methods.
Viewing 1 - 4 of 4 groups
