Differences in perceived sources of uncertainty in natural hazards science advice: lessons for cross-disciplinary communication

Emma E. H. Doyle, Jessica Thompson, Stephen R. Hill, Matt Williams, Douglas Paton, Sara E. Harrison, A. Bostrom, Julia S. Becker
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Abstract

We conducted mental model interviews in Aotearoa NZ to understand perspectives of uncertainty associated with natural hazards science. Such science contains many layers of interacting uncertainties, and varied understandings about what these are and where they come from creates communication challenges, impacting the trust in, and use of, science. To improve effective communication, it is thus crucial to understand the many diverse perspectives of scientific uncertainty.Participants included hazard scientists (n = 11, e.g., geophysical, social, and other sciences), professionals with some scientific training (n = 10, e.g., planners, policy analysts, emergency managers), and lay public participants with no advanced training in science (n = 10, e.g., journalism, history, administration, art, or other domains). We present a comparative analysis of the mental model maps produced by participants, considering individuals’ levels of training and expertise in, and experience of, science.A qualitative comparison identified increasing map organization with science literacy, suggesting greater science training in, experience with, or expertise in, science results in a more organized and structured mental model of uncertainty. There were also language differences, with lay public participants focused more on perceptions of control and safety, while scientists focused on formal models of risk and likelihood.These findings are presented to enhance hazard, risk, and science communication. It is important to also identify ways to understand the tacit knowledge individuals already hold which may influence their interpretation of a message. The interview methodology we present here could also be adapted to understand different perspectives in participatory and co-development research.
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自然灾害科学建议中不确定性来源的认知差异:跨学科交流的经验教训
我们在新西兰奥特亚罗瓦进行了心理模型访谈,以了解与自然灾害科学相关的不确定性观点。这些科学包含许多相互影响的不确定性因素,而人们对这些不确定性因素及其来源的理解各不相同,这给沟通带来了挑战,影响了人们对科学的信任和使用。参与者包括灾害科学家(n=11,如地球物理、社会和其他科学)、接受过一定科学培训的专业人士(n=10,如规划师、政策分析师、应急管理人员)以及未接受过高级科学培训的非专业公众参与者(n=10,如新闻、历史、行政、艺术或其他领域)。我们对参与者绘制的心智模型图进行了比较分析,同时考虑到了个人在科学方面的培训、专业知识和经验水平。定性比较发现,随着科学素养的提高,心智模型图的条理性也在增强,这表明,在科学方面接受过更多的科学培训、拥有更多的科学经验或专业知识,会使不确定性心智模型更有条理和结构化。语言方面也存在差异,非专业公众参与者更注重对控制和安全的认知,而科学家则注重风险和可能性的正式模型。重要的是,还要确定了解个人已掌握的隐性知识的方法,这些知识可能会影响他们对信息的解释。我们在此介绍的访谈方法也可用于了解参与式研究和共同开发研究中的不同观点。
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