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PRODID:ics.py - http://git.io/lLljaA
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DESCRIPTION:\nSpeaker: Professor Aaron Clauset\, CU Boulder\n<a href="https://coloradocollege.zoom.us/j/94789823235" title="https://coloradocollege.zoom.us/j/94789823235">Zoom Link</a> | Rated PG |🍕Pizza at noon! <a href="https://forms.gle/vbK4rtHfv2csGfDx8" title="https://forms.gle/vbK4rtHfv2csGfDx8">RSVP HERE 😏</a>\n\nAbstract:\nThe productivity of scientists shapes the pace and direction of scientific discovery. You might think that we scientists would know a great deal about makes us more or less productive. The trouble is that simple measures of productivity and prominence\, like the number of papers written or the number of citations received by those papers\, vary enormously across both individual scientists and across institutions\, and it has been observed for more than 60 years that men are generally more productive and prominent than women in science.\n \nIn this talk\, I will show that gendered differences in the size and composition of scientific collaborations networks\, and not inherent differences to scientists themselves\, largely explain the gendered "productivity gap." I'll introduce a Bayesian model that allows us to untangle the network effects of collaboration on individual productivity and prominence. First\, I'll apply these models to large-scale collaboration network data in STEM fields to investigate differences by gender\, institutional prestige\, and the effects of mentors on early-career success. And second\, I'll apply them to elite physicists specifically to examine whether the physics community values its most prominent scientists equally. I'll then close with a discussion of how knowing the systemic and structural sources of bias in science can help us reconnect with our meritocratic principles\, to both diversify the academy and broaden its contributions to society.\n\nhttps://today.coloradocollege.edu/events/9071
DTEND:20250912T193000Z
LOCATION:Tutt Science 122 - Lecture Hall (Social Science)
DTSTART:20250912T183000Z
SUMMARY:Fearless Friday - Networks Untangle Gender Differences in Productivity and Prominence Among Scientists
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