Personnel, Trng, Sim, & Human Factors

Abstract

This non-acquisition category program provides funds for continued (but less risky) R&D for broader application of advanced technologies to transition successful research proof-of-concept demonstrations into operational use. Development of prototype systems to support and/or improve operational requirements of manpower and personnel sponsors is the primary goal of this Engineering Development Program. The R&D Program features the use of a broad range of technologies from cognitive science, human systems integration, learning management, content management & delivery, learning and ability testing techniques, mathematical modeling and optimization, statistical and econometric forecasting, intelligent systems, data visualization, data mining, simulation, decision support systems, and new services oriented architectures to include applications, databases and communications configuration. This non-acquisition category program provides funds for continued R&D for broader application of advanced training technologies and the science of learning to transition successful research proof of concept demonstrations and rapid prototyping of Commercial off the Shelf/Government off the Shelf (COTS/GOTS) technologies into operational use.

Document Details

• Document Type: R2 Budgetary Justification
• Publication Date: Oct 01, 2017
• Source ID: 0604703N_5_1319_PB_2017
• Change Summary Explanation: Technical: Not applicable. Schedule: Not applicable. FY 2017 decrease in Personnel, Trng, Sim, & Human Factors RDTEN by $0.215M as required for the Department of the Navy to comply with the Bipartisan Budget Act of 2015. The FY 2017 funding request was also reduced by $0.905 million to account for the availability of prior year execution balances.
• Service Agency Name: Navy

Entities

Organizations

• United States Navy

Tags

Communities of Interest

• Human Systems

DTIC Thesaurus Topics

• Acquisition
• Best Practices
• Cognitive Science
• Combat Readiness
• Contracts
• Data Mining
• Data Visualization
• Decision Support Systems
• Education
• Engineering
• Human Factors Engineering
• Human Systems Integration
• Intelligent Systems
• Knowledge Management
• Supply Chain
• Supply Chain Management
• War Colleges

Fields of Study

• Computer science

Readers

• Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
• Military Science and Technology Research and Modernization.
• Neural Network Machine Learning.

Technology Areas

• AI & ML
• AI & ML - DoD AI Strategy