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  • Title: ➤  The Effects Of Redundancy And Network Structure On Fault Tolerance In Cooperative Teams
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By definition, redundancy has negative connotations: superfluous, unnecessarily surpassing the requirements to reach a goal, and wasteful. However, there is evidence across numerous disciplines suggesting that redundancy is crucial for maintaining the reliability and resilience of fault-prone systems. In distributed computing, redundancy increases robustness by maintaining a set of available nodes even when some are down. In ecology, redundancy preserves ecosystems despite environmental disruptions. In organizations such as hospitals, it improves safety and effectiveness. Here, we test whether redundancy plays a key role in maintaining efficiency and functionality in human teams. Because humans are prone to faults (e.g., errors in decision making, fatigue, illness, and quitting), redundancy can prevent single points of failure and increase the ability for a team to continue functioning. We will conduct a behavioral experiment on Prolific in which teams of 3, 4, 5, or 6 participants complete a simulated census game with 14 tasks. Each task involves three stages: calculating the average number of people per household, maximum household income, and total children’s commute distance to school. Teams will be incentivized to complete as many tasks as possible in a 5 minute work period (following discussion and training stages). We will additionally manipulate team structure and the presence of faults. In “pooled” teams, each participant will complete all three stages of the tasks they choose. In “reciprocal” teams, participants specialize in one stage of the task. In the fault condition, each participant will randomly be “out sick” for 60 seconds twice during the game. In the no-faults condition, participants will never be out sick. This yields a 4 (team size: 3, 4, 5, or 6 members) × 2 (team structure: pooled vs. reciprocal) × 2 (faults: present vs. absent) factorial design. We predict that smaller teams will be less resilient to faults than larger teams, and that team structure and the presence of faults will have overall main effects.

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