Average Tension Statistics for Lunar Mission Agent-Based Model

Raymond Vera's dataset contains average tension statistics from an agent-based model simulating social interactions for NASA's Artemis program. The model, created in 2026, uses a Monte Carlo approach with tens of thousands of iterations to explore astronaut productivity and psychological well-being on the Moon. It is a 5.5 KB Excel file.

Use Cases

• Analyze trade-offs between mission productivity and crew psychological well-being based on the Monte Carlo simulation results.
• Evaluate operational resilience and team structures for lunar missions based on simulated social and environmental factor interactions.
• Study the long-term effects of personality traits, cognitive skills, and emotional states on mission outcomes using the Agent_Astronaut framework.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The model is described as a 'highly probable representation' of expected social interactions for the Artemis program.
• Simulations consist of tens of thousands of Monte Carlo iterations.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB size suggests a very limited scope of data.

Provenance

Source

Raymond Vera via figshare.

Collection Method

Generated from an agent-based model (ABM) simulation drawing from literature on extreme environments, space analogs, and team science theories.

Time Range

Simulates the next couple of decades for the Artemis program.

Freshness

Last updated 2026-05-27 17:24:20; freshness should be verified.

Geography

Simulates the lunar environment, specifically the Lunar Gateway (Artemis IV) and Lunar South Pole Base (Artemis V).