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【大数据科学与脑机智能高精尖中心学术报告】美国东北大学 Junming Huang博士

发布时间:2018-04-26

 

题    目:Quantifying Gender Inequality in Academic Careers

时    间:2018年5月21日(星期一)14:30-16:30

地    点:新主楼G849

报 告 人:美国东北大学Junming Huang博士

主办单位:大数据科学与脑机智能高精尖创新中心

 

 

[报告人简介]:              

Junming Huang is a Postdoctoral Research Associate in Center for Complex Network Research at Northeastern University, and an Assistant Researcher at University of Electronic Science and Technology of China. His research interests lie in science of science and social network analysis. He received his PhD in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences in 2014, and Bachelor of Science in Physics at Tsinghua University in 2007.

     

 

[报告摘要]:                    

 

Gender differences in academia have been well documented for over 50 years: significant imbalances in the number of academics, publications, citations, salary, and funding persist across countries and within all disciplines. An epitome of the gender disparity is the “productivity puzzle” -— on average, men publish more than women -— a robust phenomena grounded in a plethora of possible explanations including differences in family responsibilities, peer-review, perceptions of talent, collaboration, and specialization. Here we adapt a career-oriented perspective on the productivity puzzle and find that the central driving phenomena mirrors the “leaky pipeline” metaphor, in that women abdicate academia more probable than men.This driving phenomena is broken down into two components:A systematic inequality for women to leave academia at a higher rate than men, and a structural inequality that disproportionately more productive women are leaving academia than equivalently productive men. Identifying such a driving force rephrases the conversation about gender inequality around the sustainability of women in academia, and has important consequences for administrative and policy makers.