Mars Exploration Analog (MEA) Behavioral Health Performance (BHP) Training CADMUS (Crew Adaptive Decision-Making Under Stress)
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The contract focuses on developing, validating, and implementing a robust training and evaluation system designed to improve crew and distributed team decision-making under high-stress conditions typical of deep space missions, particularly those aligned with the Artemis program. Drawing from a previously approved NASA HERA Campaign 8 proposal, the work encompasses a full lifecycle from needs analysis and scenario design to operational field testing, resulting in a deployable toolkit with foundational, refresher, and just-in-time training modules. The system targets adaptive decision-making capacities for both onboard crews and mission control, using the Mars Exploration Analog (MEA) environment as the primary validation platform to simulate mission-critical stressors. This effort is structured as a total small business set-aside under NAICS code 541715, managed by NASA’s Johnson Space Center, with performance activities centered in New Smyrna Beach. The project emphasizes behavioral health performance and crew adaptive decision-making under stress, referred to as CADMUS, and is intended to deliver a standardized, operationally viable solution that can be integrated into future deep space mission protocols. Point of contact for technical inquiries is Sheikh M. Ahsan, while Romain, Tumarrow serves as the designated small business specialist, ensuring compliance and engagement with small business vendors throughout the procurement process.
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Place of Performance
New Smyrna Beach, FL, United StatesSet-Aside
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Full Description
This task creates a standardized training suite and evaluation framework to strengthen adaptive decision making for crews and mission control under Artemis like stressors. Work includes needs analysis, training design, scenario development, Mars Exploration Analog (MEA) validation, operational field testing, and delivery of a deployable toolkit with foundational, refresher, and just in time module
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