• Synthesis

• Feedback Cycles

• Dealing with diversity

A bad barrel spoils a good apple: How uncertainty and networks affect whether matching rules can foster cooperation Are organizational gender diversity management practices effective? Socially situating NormAN: Standpoints and epistemic diversity in a Bayesian, agent-based model. Cooperation between newcomers and incumbents: The role of normative disagreements

Diversity and Social Learning Ill-informed consensus or truthful disagreement? How argumentation styles and preference perceptions affect deliberation outcomes in groups with conflicting stakes Socially situating NormAN: Standpoints and epistemic diversity in a Bayesian, agent-based model. Realtime user ratings as a strategy for combatting misinformation: an experimental study

Identity diversity in teams brings advantages for complex decision-making because it is associated with cognitive diversity among team members. At the same time, homophilous interactions along shared identity dimensions can hinder information exchange among dissimilar individuals and threaten successful exploitation of the team’s cognitive diversity. We present an agent-based model to investigate how homophily impacts decision-making quality in diverse teams. Team members communicate information in a ‘hidden profile’ setting where some pieces of information are known only to single individuals while other pieces of information are known to subgroups with the same identity. While intuition may suggest that homophily impairs collective decision-making, our model reveals how homophilous environments lead to better collective decisions: homophily fosters temporary disagreements between dissimilar team members, which grant teams additional time to uncover crucial information that would not have been shared otherwise. Longer discussion time comes along with improvements in the quality of the final decision, indicating a trade-off between the time needed to deliberate and decision quality.

The present paper uses an agent-based model to theorize how homophilous interaction preferences shape decision-making quality in diverse teams.

• Collected during project

• Simulation

No

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• output: csv
• model: nlogo
• analysis syntax: stata do

• Structured

• English

01/07/1924

31/12/2024

nA - theoretical model, simulation

01/01/2023

31/12/2023

None to declare