This paper presents a snapshot of the distribution of time that Spanish academic staff spend on different tasks. We carry out a statistical exploratory study by analyzing the responses provided in a survey of 703 Spanish academic staff in order to draw a clear picture of the current situation. This analysis considers many factors, including primarily gender, academic ranks, age, and academic disciplines. The tasks considered are divided into smaller activities, which allows us to discover hidden patterns. Tasks are not only restricted to the academic world, but also relate to domestic chores. We address this problem from a totally new perspective by using machine learning techniques, such as cluster analysis. In order to make important decisions, policymakers must know how academic staff spend their time, especially now that legal modifications are planned for the Spanish university environment. In terms of the time spent on quality of teaching and caring tasks, we expose huge gender gaps. Non-recognized overtime is very frequent.

中文翻译：

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西班牙大学教职员工工作量概况的数据科学分析：性别差距暴露无遗

本文简要介绍了西班牙学术人员在不同任务上花费的时间分布。我们通过分析对 703 名西班牙学术人员的调查中提供的答复进行了一项统计探索性研究，以便清楚地了解当前情况。该分析考虑了许多因素，主要包括性别、学术等级、年龄和学科。考虑的任务分为较小的活动，这使我们能够发现隐藏的模式。任务不仅限于学术界，还涉及家务。我们通过使用机器学习技术（例如聚类分析）从全新的角度解决这个问题。为了做出重要决定，政策制定者必须知道学术人员如何度过他们的时间，特别是现在计划对西班牙大学环境进行法律修改。在教学质量和照顾任务上花费的时间方面，我们暴露出巨大的性别差距。不承认的加班非常频繁。