Why Diversity is Not Enough?


Despite improvements, women in STEM are still facing more challenges than their male colleagues: they earn less, have access to less funding, are less likely to be promoted, and their work receives less acknowledgment. These disparities persist, despite evidence that integrated female members increase the overall intelligence of teams and gender heterogeneous teams are more creative and productive.
Recent years scandals in the tech industry brought attention to women’s marginalisation in STEM. In my talk, I will showcase large-scale data-driven studies to illustrate that increasing the number of women itself will not solve the problem. On examples from open source software engineering, video game development, and scientific collaborations I will describe why we should not focus only on diversity.


Orsolya is a Postdoctoral Fellow at the University of Warwick. Her research focuses on how network and data science can lead to a better understanding of unconscious bias in STEM. Currently, she is interested in developing data-driven methods to quantify inclusion and explore the role of gendered network formation in success and creativity. Orsolya is an ambassador of the Global Women in Data Science Initiative and a member of the Data Science for Social Good Alumni.

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