The field of collective intelligence and team dynamics is moving towards a deeper understanding of how individuals interact and collaborate in complex systems. Recent studies have highlighted the importance of social skills, familiarity, and cooperative behaviors in achieving high performance in teams. The use of machine learning algorithms, statistical methods, and social network analysis has provided new insights into the dynamics of team organization and adaptation under various constraints, such as time pressure. These findings have implications for a wide range of applications, from professional organizations to competitive settings. Noteworthy papers include:

• Collective Intelligence Outperforms Individual Talent: A Case Study in League of Legends, which demonstrates the superior performance of collective intelligence in a multiplayer online battle arena game.
• What Drives Team Success? Large-Scale Evidence on the Role of the Team Player Effect, which confirms a robust team player effect and highlights the importance of social skills and familiarity in team success.