相关实验视频
Updated: Jan 9, 2026

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
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在风险背景下对竞争性叙述的分类系统
1University of Richmond, Richmond, Virginia, USA.
概括
了解叙述,包括错误信息和偏见,对于风险研究完整性至关重要. 分类这些叙述可以改善分析师,决策者和沟通者的风险感知和研究设计.
科学领域:
- 风险分析 风险分析
- 科学传播是科学传播.
- 认知科学是一种认知科学.
背景情况:
- 风险研究可能受到错误信息,偏见和社会动态的影响,称为叙述.
- 这些叙述影响感知到的科学真理,风险问题和价值观,影响整体风险感知和研究质量.
- 了解这些叙述对于有效的风险评估和沟通至关重要.
研究的目的:
- 开发一个分类系统,用于分析风险研究中的叙述.
- 了解叙述如何影响风险感知和风险研究的质量.
- 通过解决有影响力的叙述,为风险研究的设计和实施提供信息.
主要方法:
- 关于风险研究中的错误信息,偏见和叙述的文献评论.
- 开发一个叙事分类系统.
- 分析叙述如何影响风险感知和利益相关者的评估.
主要成果:
- 叙述,包括关注和价值,是风险研究的组成部分.
- 叙事既可以挑战科学客观性,也可以阐明所感知的真理和价值观.
- 一个分类系统可以帮助识别和管理影响风险感知的叙述.
结论:
- 分类叙述提供了改善风险研究设计和实施的证据.
- 解决叙事增强了对风险感知和研究质量的理解.
- 这项工作对风险分析师,政策制定者和风险沟通者来说是有价值的.
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