August 26, 2019 – In January, the Naval Air Systems Command (NAVAIR) Small Business Innovation Research (SBIR) office announced that BGI had been selected to continue into Phase II of a research effort to develop a “Data Science Driven Aircrew Performance Measurement and Proficiency System.” BGI participated in Phase I of the project in 2018, studying the feasibility of and developing techniques for creating an automated system to support assessment of aircrew proficiency and training effectiveness in mission situations. The effort included a former TOPGUN instructor decomposition of a training syllabus into individually measurable elements representing the mission effects chain, including identification of parametric data available in a training environment to perform those measurements. These measurements will provide the instructor with objective, evidence-based inputs to support performance assessment. The research applied BGI’s expertise and experience in data science to alleviate current labor-intensive and subjective aircrew assessment and mission debriefing methods with automated mechanisms providing objective observations for an instructor to use in debrief.
During Phase II, BGI will continue with mission decomposition and begin prototyping the automated assessment system, including development of data visualizations that will allow aircrew, instructors, and mission planners to objectively and efficiently assess mission performance. The prototyping effort will leverage BGI’s extensive history developing analysis and visualization systems combined with the Navy’s Next Generation Threat System (NGTS) to develop assessment capabilities in the Analysis and Reporting Tool (ART). NGTS and the Navy’s Integrated Training Facility (ITF) at NAS Fallon, NV are BGI’s transition partners; Phase II efforts are focused upon delivering revolutionary technologies to the ITF to support large force Live-Virtual-Constructive (LVC) training exercises.
The Aircrew Performance Assessment project is a prime example of BGI’s business model, effectively integrating operational expertise with data science and engineering to deliver innovative, game-changing capabilities to the warfighter.
NAWCTSD Public Release 19-ORLO070 — Distribution A: “Approved for public release; distribution is unlimited”