<p>Determining appropriate mechanisms for transferring and translating research into policy has become a major concern for researchers (knowledge producers) and policymakers (knowledge users) worldwide. This has led to the emergence of a new function of brokering between researchers and policymakers, and a new type of agent called <i>Knowledge Broker</i>. Understanding these complex multi-agent interactions is critical for an efficient knowledge brokering practice during any given policymaking process. Here, we present (1) the current diversity of knowledge broker groups working in the field of biosecurity and environmental management; (2) the incentives linking the different agents involved in the process (knowledge producers, knowledge brokers and knowledge users); and (3) the gaps, needs and challenges to better understand this social ecosystem. We also propose alternatives aimed at improving transparency and efficiency, including future scenarios where the role of artificial intelligence (AI) technologies may become predominant in knowledge-brokering activities.</p>

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Knowledge brokers at the science–policy interface: Insights from biosecurity and environmental management

  • Alejandro Bortolus,
  • Chad L. Hewitt,
  • Veli Mitova,
  • Evangelina Schwindt,
  • Temitope O. Sogbanmu,
  • Emelda E. Chukwu,
  • Remco Heesen,
  • Ricardo Kaufer,
  • Hannah Rubin,
  • Mike D. Schneider,
  • Anne Schwenkenbecher,
  • Helena Slanickova,
  • Katie Woolaston,
  • Li-an Yu

摘要

Determining appropriate mechanisms for transferring and translating research into policy has become a major concern for researchers (knowledge producers) and policymakers (knowledge users) worldwide. This has led to the emergence of a new function of brokering between researchers and policymakers, and a new type of agent called Knowledge Broker. Understanding these complex multi-agent interactions is critical for an efficient knowledge brokering practice during any given policymaking process. Here, we present (1) the current diversity of knowledge broker groups working in the field of biosecurity and environmental management; (2) the incentives linking the different agents involved in the process (knowledge producers, knowledge brokers and knowledge users); and (3) the gaps, needs and challenges to better understand this social ecosystem. We also propose alternatives aimed at improving transparency and efficiency, including future scenarios where the role of artificial intelligence (AI) technologies may become predominant in knowledge-brokering activities.