Centre of Excellence for Biosecurity Risk Analysis, University of Melbourne, Parkville, VIC, Australia.
School of BioSciences, University of Melbourne, Parkville, VIC, Australia.
Risk Anal. 2018 Sep;38(9):1781-1794. doi: 10.1111/risa.12992. Epub 2018 Apr 17.
In risky situations characterized by imminent decisions, scarce resources, and insufficient data, policymakers rely on experts to estimate model parameters and their associated uncertainties. Different elicitation and aggregation methods can vary substantially in their efficacy and robustness. While it is generally agreed that biases in expert judgments can be mitigated using structured elicitations involving groups rather than individuals, there is still some disagreement about how to best elicit and aggregate judgments. This mostly concerns the merits of using performance-based weighting schemes to combine judgments of different individuals (rather than assigning equal weights to individual experts), and the way that interaction between experts should be handled. This article aims to contribute to, and complement, the ongoing discussion on these topics.
在具有紧急决策、稀缺资源和数据不足等特点的风险情况下,政策制定者依靠专家来估计模型参数及其相关不确定性。不同的启发式和聚合方法在效果和稳健性上可能有很大的差异。虽然人们普遍认为,通过涉及群体而不是个人的结构化启发式方法,可以减轻专家判断中的偏差,但关于如何最好地启发和聚合判断仍然存在一些分歧。这主要涉及使用基于绩效的权重方案来组合不同个体的判断(而不是为每个专家分配相同的权重),以及应该如何处理专家之间的交互。本文旨在为正在进行的关于这些主题的讨论做出贡献和补充。