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EPJ Data Science Highlight - Women’s disadvantage: because of who they are, or what they do?

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Women often find themselves strongly disadvantaged in the field of software development, in particular when it comes to open source. In a study recently published in EPJ Data Science, Orsolya Vasarhelyi and Balazs argue that this disadvantage stems from gendered behavior rather than categorical discrimination: women are at a disadvantage because of what they do, rather than because of who they are.

Continue reading the guest post by Orsolya Vasarhelyi and Balazs Vedres on the SpringerOpen blog.

Editors-in-Chief
E. Dudas, M. Elsing, F. Forti, J. Monroe, D.J. Schwarz and G. Zanderighi

We are grateful to the Editor, to the Referee for careful reading of the manuscript, for the interesting and useful remarks, which allow us to improve the text and clarify some of the results.

Evgenij Martynov (Bogolyubov Institute for Theoretical Physics, Kiev, Ukraine) and Basarab Nicolescu (Babes-Bolyai University, Cluj-Napoca, Romania)

ISSN: 1434-6052 (Electronic Edition)

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