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Agent-based modeling explores how knowledge brokers influence evidence-based policy interactions, suggesting new research paths.
Knowledge brokers, usually conceptualized as passive intermediaries between scientists and policymakers in evidence-based policymaking, are understudied in the philosophy of science. Here, we challenge that usual conceptualization. As agents in their own right, knowledge brokers have their own goals and incentives, which complicate the effects of their presence at the science–policy interface.We illustrate this in an agent-based model and suggest several avenues for further exploration of the role of knowledge brokers in evidence-based policy.
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Rubin et al. (2026) studied this question.
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