- Team Name: [Team Name]
- Year: [Year]
- All-Female Team: [Yes/No]
- How did you approach cleaning the raw data, including handling missing values, inconsistent formats, and outliers?
- What logic did you use to detect underlying alliances and evaluate the impact of asymmetric trust and betrayal probabilities?
- How did you prioritize proposals given varying objection severities and differing levels of influence among objectors?
- Describe the strategy used by your consensus engine to maintain a stable agreement while avoiding "Trojan Horse" candidates and "Poison Pill" proposals.
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