Flying sofa conferences in Ukraine: dataset (2024)

The presented dataset contains generalized information on the activities of the Ukrainian online platforms that organized remote and correspondence scientific conferences with the features of “flying sofa” formats in 2024. The data covers 18 providers and contains detailed characteristics of each conference, including the number of submitted abstracts, language distribution of materials, the share of authors from Ukraine and those with foreign affiliations, a list of affiliation countries, the cost of organizational contributions, and the estimated income of organizers. For each platform, the number of conferences in the sample, their thematic focus, type of conduct, formal participation parameters (deadlines, ECTS credits, payment terms), and other structural features are also recorded. The dataset enables us to recreate a picture of the functioning of the “online conferences” segment, which does not actually involve scientific interaction but is used by authors to fulfill the formal requirements of publication activity. A total of 44,103 abstracts from authors in Ukraine were recorded, which represents 95% of all materials in the database (46,408). In addition, the data enable us to assess the economic dimension of the phenomenon: the minimum revenues of providers and the costs incurred by Ukrainian authors for each conference platform have been calculated. The dataset can be used to analyze the structure of pseudoscientific events, model risks to academic integrity, develop indicators for identifying suspicious conferences, and justify changes in the system of evaluating scientific activity.本数据集收录了2024年乌克兰境内组织具有“飞沙发”（flying sofa）模式特征的远程及通讯型学术会议的相关概况信息。数据集覆盖18家平台提供商，包含每场会议的详细特征信息，具体包括提交的摘要数量、材料语言分布、乌克兰籍作者占比及拥有海外隶属机构的作者占比、隶属机构所属国家列表、会务费标准，以及主办方的预估营收。针对每家平台，样本内会议的数量、主题方向、举办形式、正式参会参数（截止日期、欧洲学分转换体系学分（ECTS credits）、缴费规则）及其他结构性特征均已记录在案。本数据集可用于还原“在线会议”细分领域的运行现状——此类会议实则并未开展学术互动，仅被作者用于满足学术发表活动的形式化要求。共收录来自乌克兰作者的摘要44103篇，占数据库总材料量（46408篇）的95%。此外，本数据集可用于评估该现象的经济维度：已核算出各平台提供商的最低营收，以及乌克兰作者参会所需承担的相关成本。本数据集可用于分析伪学术活动的结构、构建学术诚信风险模型、开发识别可疑学术会议的指标，并为科学活动评价体系的改革提供依据。