Human Development, Human Neuroscience Institute, Cornell University.
Perspect Psychol Sci. 2017 Nov;12(6):1138-1140. doi: 10.1177/1745691617714525.
In this article, I suggest that an overreliance on analytics to assess faculty productivity and the diffusion of ideas may inadvertently suppress innovation. Even when these productivity-diffusion metrics are used to promote an individual's work, the use of such external guideposts may bias scientific choices and curb a psychological scientist's earnest inclination to synthesize or take scientific risks. Analytics are not inert but can change the path and progress of science itself, potentially reducing the diversity of ideas in psychological science. This potential harm may most affect new scholars at the beginning of their independent research careers.
在本文中,我认为过度依赖分析来评估教师的生产力和思想的传播可能会无意中抑制创新。即使这些生产力-扩散指标被用来促进个人的工作,使用这些外部指标也可能会影响科学选择,并抑制心理科学家认真综合或承担科学风险的倾向。分析并不是惰性的,但它可以改变科学本身的路径和进展,有可能减少心理科学中思想的多样性。这种潜在的危害可能对刚开始独立研究生涯的新学者影响最大。