Abstract for:Gender inequality in science; a system dynamics model

Gender inequality in science; a dynamic model


Research on gender inequality in science mainly focusses on explanations at a specific level, like gender bias in individual decision-making, gendered organizational processes and the role of gender stereotypes in society. Gender theory however suggests an interaction between explanations at the level of individuals, organizations and society. This paper contributes to the debate about gender inequality in science by exploring the interaction between processes at the individual, organizational and societal level in a system dynamics model that visualizes the feedback between them. The model is inductively derived from group model building sessions involving 76 academic and support staff members at six science institutions in a Dutch university, and is validated based on existing academic literature.