In an exploration of safety in industrial operations, the blog post by Humza Akhtar delves into the challenges faced by heavy-asset industries, such as aerospace, shipbuilding, and construction, where tight environments, time pressures, and production targets often lead to unsafe shortcuts. The European Maritime Safety Agency's data, which attributes 80% of marine incidents to human factors, underscores the need for a proactive approach to safety rather than reactive measures. The blog suggests utilizing MongoDB as a unified operational data store to consolidate sensor telemetry, worker decisions, and contextual factors, enabling organizations to generate proactive insights and improve safety policies. By integrating game theory and MongoDB’s flexible document model, the post advocates for modeling and analyzing worker decisions as strategic interactions, allowing the simulation of safety conditions and the development of informed policies. The use of MongoDB’s features like time series data storage, game-theoretic decision modeling, and risk scoring aims to create a behavior-aware safety simulation engine that anticipates and mitigates risky behavior. The approach emphasizes the importance of real-time data integration and adaptable policy design to enhance safety in industrial environments.