论文标题

量化COVID-19大流行对科学家的直接影响

Quantifying the Immediate Effects of the COVID-19 Pandemic on Scientists

论文作者

Myers, Kyle R., Tham, Wei Yang, Yin, Yian, Cohodes, Nina, Thursby, Jerry G., Thursby, Marie C., Schiffer, Peter E., Walsh, Joseph T., Lakhani, Karim R., Wang, Dashun

论文摘要

COVID-19的大流行无疑破坏了科学企业,但我们缺乏有关这些破坏的性质和大小的经验证据。在这里,我们报告了对美国和欧洲研究机构约4,500名主要研究人员(PI)的调查结果。该调查于2020年4月中旬分发,征求了有关科学家工作从大流行病开始如何变化的信息,在不久的将来可能会影响他们的研究成果以及广泛的个人特征。科学家报告说,平均研究时间的时间急剧下降,但是存在很大的异质性,其份额很大,没有变化甚至增加。这种异质性中的某些是由于特定于场的差异引起的,基于实验室的领域受到最负面影响,而有些则是由于性别所致,而女科学家报告说较大的下降。但是,在所检查的个体特征中,最大的中断与通常未观察到的维度有关:育儿。报告年轻人的依赖性与基于实验室的领域报告的相似的幅度相似,并且可以占性别差异的很大一部分。在关于育儿在科学家工作中的作用的稀缺证据中,这些结果强调了这种大流行的基本和异构方式正在影响科学劳动力,并且可能对塑造对大流行对科学及其他影响的影响的反应具有广泛的意义。

The COVID-19 pandemic has undoubtedly disrupted the scientific enterprise, but we lack empirical evidence on the nature and magnitude of these disruptions. Here we report the results of a survey of approximately 4,500 Principal Investigators (PIs) at U.S.- and Europe-based research institutions. Distributed in mid-April 2020, the survey solicited information about how scientists' work changed from the onset of the pandemic, how their research output might be affected in the near future, and a wide range of individuals' characteristics. Scientists report a sharp decline in time spent on research on average, but there is substantial heterogeneity with a significant share reporting no change or even increases. Some of this heterogeneity is due to field-specific differences, with laboratory-based fields being the most negatively affected, and some is due to gender, with female scientists reporting larger declines. However, among the individuals' characteristics examined, the largest disruptions are connected to a usually unobserved dimension: childcare. Reporting a young dependent is associated with declines similar in magnitude to those reported by the laboratory-based fields and can account for a significant fraction of gender differences. Amidst scarce evidence about the role of parenting in scientists' work, these results highlight the fundamental and heterogeneous ways this pandemic is affecting the scientific workforce, and may have broad relevance for shaping responses to the pandemic's effect on science and beyond.

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