Risk Anal. 2018 Nov;38(11):2415-2423. doi: 10.1111/risa.13139. Epub 2018 Jul 10.
A risk analysis science is developing, characterized by knowledge generation on concepts, principles, theories, frameworks, methods, and models, for understanding, assessing, characterizing, communicating, and managing risk (for short referred to as conceptual knowledge generation in risk analysis), as well as supporting risk knowledge generation of specific activities based on these concepts, principles, theories, frameworks, methods, and models. The scientific knowledge generation is based on different types of research methods. This article provides a discussion of some of these, the main purpose being to demonstrate the central role of conceptual knowledge generation and research in risk analysis. The importance of this type of knowledge generation and research is considered undervalued in risk analysis. Several examples are used to illustrate the discussion, including a risk governance framework and the anti-fragility concept.
风险分析科学正在发展，其特点是在概念、原则、理论、框架、方法和模型方面生成知识，以理解、评估、描述、交流和管理风险（简称为风险分析中的概念知识生成），并基于这些概念、原则、理论、框架、方法和模型支持特定活动的风险知识生成。科学知识生成基于不同类型的研究方法。本文讨论了其中的一些方法，主要目的是展示概念知识生成和研究在风险分析中的核心作用。这种类型的知识生成和研究的重要性被认为在风险分析中被低估了。本文使用了几个示例来说明讨论，包括风险治理框架和反脆弱性概念。
