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We will convene for the Applied Statistics Workshop (Gov 3009) tomorrow, Wednesday (9/12).
The speaker is Junming Huang (Princeton postdoc) who will be presenting his paper "Quantifying Gender Inequality in Scientific Careers" (no paper link).
Where: CGIS Knafel Building, Room K354 (see
this link for directions).
When: Wednesday, September 12th at 12 noon - 1:30 pm.
Abstract: Gender inequality in academic careers, documented across all
disciplines and countries, extends beyond the fraction of women involved
in research: compared to their male colleagues, women publish less over
the course of their careers and their work acquires fewer citations.
Yet, all existing evidence is limited to selected countries or
disciplines, restricting our ability assess the roots and implications
of the gender disparity. Here we analyzed a large corpus of scientific
publications since 1900, identifying the gender and reconstructing the
full publishing career of over 1.5 million authors from most scientific
disciplines and countries, allowing us to quantify the processes and
outcomes for women and men in science. We confirm that men have higher
total productivity and total impact than women, a pattern impacting all
disciplines and most countries. Surprisingly, we find no systematic
difference between the annual productivity of male and female
scientists, not only offering a gender-invariant productivity measure,
but also suggesting that the observed gender gaps are rooted in gender
dependent dropout rates. We find that not only do women leave academia
at a higher rate than men, but surprisingly, this gap in dropout rate is
greater for the more productive women. We show that when we control for
these two gender-specific dropout rates, the career gender gaps in both
productivity and impact vanish. Identifying the driving forces of
gender gaps can help rephrase the conversation about gender inequality
around the sustainability of women’s careers in academia, with important
consequences for policy makers and academic institutions.
All are welcome! Lunch is provided!
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator