Develop technologies for Naval Strike Group Training and Assessment.
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Develop effective, realistic, on-demand, integrated and joint warfare training capabilities for the Naval Strike Group in order to prepare naval warfighters to win future battles.
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Develop performance metrics, data collection techniques and analysis approaches to assess warfighter readiness, evaluate performance over time and ensure training is meeting objectives.
Research Concentration Areas
- Accelerating and Optimizing Strike Group Performance and Readiness Assessment
- Develop standardized and objective performance metrics, data collection techniques and analysis approaches to assess warfighter readiness, evaluate performance over time and ensure training is meeting objectives for the Naval Strike Group.
- Research Focus:
- Define and standardize objective performance metrics that are predictive of warfighter performance by platform and task and specifically diagnose performance weaknesses
- Develop near real-time performance data collection techniques
- Develop mechanisms to link individual performance, to team performance, to teams of teams performance as it impacts mission success
- Create processing, parsing and tagging approaches for data and trend analysis from audio, video and instrumented tactical systems files
- Prototype intuitive interfaces for displaying performance data in real time and for post training debrief and trend analysis
- Adaptive Training of Naval Operations and Tactics
- Apply adaptive training techniques into naval training systems to maximize fleet effectiveness and efficiency.
- Research Focus:
- Adapt difficulty and feedback adaptation algorithms to naval training applications
- Develop automated assessment algorithms that diagnose trainee strengths and weaknesses in naval training applications
- Conduct training effectiveness evaluations to empirically determine best adaptive approaches for optimizing learning and efficiency in naval relevant domain
- Develop and test adaptive training approaches for dynamic scenario-based training
- Create AI techniques for automating scenario development and adaptation for training scenarios
- Extend capabilities to address training needs for unmanned systems
- Enabling LVC Capability for the High End Fight
- Identify novel solutions and to develop and test early prototypes that address high priority LVC capability gaps to:
- accelerate the Navy’s realization of “anytime, anywhere” LVC training capability, and
- increase the realism and effectiveness of training at both the platform (i.e. ship or aircraft), integrated (i.e. strike group) and joint levels
- Research Focus:
- Develop advanced and reactive Opposing and Friendly Force models and complex environment conditions to make training scenarios more representative of the projected GPC operating environment
- Identify and experiment with innovative ways to automate functions and reduce manpower needed to operate the Navy’s LVC training enterprise
- Develop and demonstrate augmented reality (A/R) training capabilities that enable visualization of additional warfare functions into shipboard training
- Research and test computational models for compression, synchronization and distribution of training data (scenarios, performance metrics, etc.) across the LVC enterprise
- Identify novel solutions and to develop and test early prototypes that address high priority LVC capability gaps to:
How to Submit
For detailed application and submission information for this research topic, please refer to our broad agency announcement (BAA) No. N0001425SB001.
Contracts: All white papers and full proposals for contracts must be submitted through FedConnect; instructions are included in the BAA.
Grants: All white papers for grants must be submitted through FedConnect, and full proposals for grants must be submitted through grants.gov; instructions are included in the BAA.