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Gender disparities in science? Dropout, productivity, collaborations and success of male and female computer scientists
Quelle: Advances in Complex Systems, 21 (2018) 3-4, S 1-23
Inhalt: 
Scientific collaborations shape ideas as well as innovations and are both the substrate for, and the outcome of, academic careers. Recent studies show that gender inequality is still present in many scientific practices ranging from hiring to peer-review processes and grant applications. In this work, we investigate gender-specific differences in collaboration patterns of more than one million computer scientists over the course of 47 years. We explore how these patterns change over years and career ages and how they impact scientific success. Our results highlight that successful male and female scientists reveal the same collaboration patterns: compared to scientists in the same career age, they tend to collaborate with more colleagues than other scientists, seek innovations as brokers and establish longer-lasting and more repetitive collaborations. However, women are on average less likely to adopt the collaboration patterns that are related with success, more likely to embed into ego networks devoid of structural holes, and they exhibit stronger gender homophily as well as a consistently higher dropout rate than men in all career ages.
Scientific collaborations shape ideas as well as innovations and are both the substrate for, and the outcome of, academic careers. Recent studies show that gender inequality is still present in many scientific practices ranging from hiring to peer-review processes and grant applications. In this work, we investigate gender-specific differences in collaboration patterns of more than one million computer scientists over the course of 47 years. We explore how these patterns change over years and career ages and how they impact scientific success. Our results highlight that successful male and female scientists reveal the same collaboration patterns: compared to scientists in the same career age, they tend to collaborate with more colleagues than other scientists, seek innovations as brokers and establish longer-lasting and more repetitive collaborations. However, women are on average less likely to adopt the collaboration patterns that are related with success, more likely to embed into ego networks devoid of structural holes, and they exhibit stronger gender homophily as well as a consistently higher dropout rate than men in all career ages.
Schlagwörter:Informatiker; computer scientist; woman; Mann; man; Wissenschaftlerin; female scientist; Wissenschaftler; scientist; Karriere; career; Berufserfolg; job success; Berufsverlauf; job history; Kooperation; cooperation; Teamarbeit; teamwork; Netzwerk; network; gender-specific factors; Ungleichheit; inequality; computational social science; network analysis; gender bias; science of success; team science
SSOAR Kategorie:Frauen- und Geschlechterforschung, Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie
Verfügbarkeit:https://doi.org/10.1142/S0219525917500114
Dokumenttyp:Zeitschriftenaufsatz