Epistemic Beliefs, Perceived Responsibilities, and Information Asymmetry in Energy Modelling - a Survey with Modellers

This dataset contains the survey data supporting the following article:Bock, Franziska, and Stefan Pfenninger-Lee. 2025. ‘Rarely Pure and Never Simple: Exploring Perceptions of Truth and Objectivity in Energy Modelling and Scenarios’. Energy Research & Social Science 127 (September): 104229. https://doi.org/10.1016/j.erss.2025.104229. The data capture 166 responses to a questionnaire examining attitudes and epistemic beliefs about mathematical modelling and scenario development for long-term energy planning and climate policy. It includes 18 Likert-scale statements across nine themes informed by established instruments on epistemic beliefs. Each theme pairs opposing statements to capture nuanced opinions. Further, the dataset includes the respondents' perspectives on the division of responsibilities as well as the information asymmetry between a modeller and a policymaker, and open-ended questions for qualitative feedback. Demographic information was collected to reflect diversity in modelling roles, disciplinary backgrounds, and regional contexts.本数据集包含支撑下述学术论文的调研数据：Bock, Franziska与Stefan Pfenninger-Lee于2025年发表的《极少纯粹且从未简单：探索能源建模与情景构建中的真相与客观性认知》，刊载于《能源研究与社会科学（Energy Research & Social Science）》127卷（2025年9月），文章编号为104229，DOI：10.1016/j.erss.2025.104229。本数据集纳入166份问卷回复，用于调研长期能源规划与气候政策领域中人们对数学建模与情景构建的态度及认知信念。问卷包含基于成熟认知信念测量工具开发的9个主题下的18条李克特量表（Likert-scale）条目，每个主题均设置对立性表述以捕捉精细化的观点差异。此外，本数据集还收录了受访者关于建模者与政策制定者间职责划分及信息不对称问题的看法，以及用于收集定性反馈的开放式问题。调研同时收集了受访者的人口统计学信息，以反映其在建模角色、学科背景与地域语境上的多样性。