English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Inequality prevails in science. Individual inequality means that most perishquickly and only a few are successful, while gender inequality implies thatthere are differences in achievements for women and men. Using large-scalebibliographic data and following a computational approach, we study theevolution of individual and gender inequality for cohorts from 1970 to 2000 inthe whole field of computer science as it grows and becomes a team-basedscience. We find that individual inequality in productivity (publications)increases over a scholar's career but is historically invariant, whileindividual inequality in impact (citations), albeit larger, is stable acrosscohorts and careers. Gender inequality prevails regarding productivity, butthere is no evidence for differences in impact. The Matthew Effect is shown toaccumulate advantages to early achievements and to become stronger over thedecades, indicating the rise of a "publish or perish" imperative. Only someauthors manage to reap the benefits that publishing in teams promises. TheMatthew Effect then amplifies initial differences and propagates the gendergap. Women continue to fall behind because they continue to be at a higher riskof dropping out for reasons that have nothing to do with early-careerachievements or social support. Our findings suggest that mentoring programsfor women to improve their social-networking skills can help to reduce genderinequality.

Individual and gender inequality in computer science: A career study of cohorts from 1970 to 2000