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Published on: November 13, 2014
Causal diagramming for assessing human system risk in spaceflight
Erik Antonsen1, Robert J Reynolds2, Jacqueline Charvat2
1Center for Space Medicine, Department of Emergency Medicine, Baylor College of Medicine, Houston, TX, USA. erik.antonsen@bcm.edu.
NASA tracks astronaut health risks, using causal diagrams (DAGs) to better understand and manage spaceflight challenges. This approach improves communication and creates a unified risk network for enhanced astronaut safety.
Area of Science:
- Aerospace Medicine
- Human Factors Engineering
- Risk Management
Background:
- NASA has managed ~30 astronaut health and performance risks for over a decade.
- The Human System Risk Board (HSRB) sets risk posture and updates it based on evidence.
- Astronauts face multiple risks simultaneously, necessitating a holistic approach.
Purpose of the Study:
- To assess causal diagramming (DAGs) for understanding complex spaceflight risks.
- To improve communication and create a shared mental model of risk for HSRB stakeholders.
- To develop a data-driven approach for managing astronaut health risks.
Main Methods:
- Utilized causal diagrams, specifically directed acyclic graphs (DAGs).
- Applied DAGs to visualize the causal flow of spaceflight-induced human system risks.
- Piloted the use of DAGs within the HSRB framework.
Main Results:
- DAGs facilitate a shared understanding of risk causality among stakeholders.
- Enabled the creation of a composite risk network for tracking and management.
- Provided insights into the pilot process and lessons learned.
Conclusions:
- Causal diagramming shows promise for enhancing astronaut risk management.
- Future goals include advancing data-driven risk management strategies.
- The HSRB aims to improve astronaut safety through integrated risk analysis.
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