Department of Mathematics and Statistics, Williams College, Williamstown, MA, United States of America.
Graduate Program in Data Science, New College of Florida, Sarasota, FL, United States of America.
PLoS One. 2019 Mar 20;14(3):e0212852. doi: 10.1371/journal.pone.0212852. eCollection 2019.
The U.S. art museum sector is grappling with diversity. While previous work has investigated the demographic diversity of museum staffs and visitors, the diversity of artists in their collections has remained unreported. We conduct the first large-scale study of artist diversity in museums. By scraping the public online catalogs of 18 major U.S. museums, deploying a sample of 10,000 artist records comprising over 9,000 unique artists to crowdsourcing, and analyzing 45,000 responses, we infer artist genders, ethnicities, geographic origins, and birth decades. Our results are threefold. First, we provide estimates of gender and ethnic diversity at each museum, and overall, we find that 85% of artists are white and 87% are men. Second, we identify museums that are outliers, having significantly higher or lower representation of certain demographic groups than the rest of the pool. Third, we find that the relationship between museum collection mission and artist diversity is weak, suggesting that a museum wishing to increase diversity might do so without changing its emphases on specific time periods and regions. Our methodology can be used to broadly and efficiently assess diversity in other fields.
美国艺术博物馆领域正在努力解决多样性问题。虽然之前的研究已经调查了博物馆工作人员和访客的人口多样性,但博物馆藏品中艺术家的多样性仍然没有得到报道。我们进行了首次对博物馆艺术家多样性的大规模研究。通过抓取 18 家美国主要博物馆的公共在线目录,我们部署了一个包含 10000 名艺术家记录的样本,其中包含超过 9000 位独特的艺术家,交由众包处理,并分析了 45000 条回复,我们推断出艺术家的性别、族裔、地理来源和出生年代。我们的研究结果有三个方面。首先,我们提供了每个博物馆的性别和族裔多样性的估计值,总的来说,我们发现 85%的艺术家是白人,87%是男性。其次,我们确定了哪些博物馆是异常值,它们在某些人口群体的代表性上明显高于或低于其他博物馆。第三,我们发现博物馆收藏使命与艺术家多样性之间的关系较弱,这表明一个希望增加多样性的博物馆可以在不改变其对特定时期和地区的强调的情况下实现这一目标。我们的方法可以广泛而有效地用于评估其他领域的多样性。