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The Impact of the COVID-19 Pandemic on Women's Contribution to Public Code

Annalí Casanueva, Davide Rossi, Stefano Zacchiroli, Théo Zimmermann

TL;DR

The findings show that the COVID-19 pandemic has disproportionately impacted women’s ability to contribute to the development of public code, relatively to men.

Abstract

Despite its promise of openness and inclusiveness, the development of free and open source software (FOSS) remains significantly unbalanced in terms of gender representation among contributors. To assist open source project maintainers and communities in addressing this imbalance, it is crucial to understand the causes of this inequality.In this study, we aim to establish how the COVID-19 pandemic has influenced the ability of women to contribute to public code. To do so, we use the Software Heritage archive, which holds the largest dataset of commits to public code, and the difference in differences (DID) methodology from econometrics that enables the derivation of causality from historical data.Our findings show that the COVID-19 pandemic has disproportionately impacted women's ability to contribute to the development of public code, relatively to men. Further, our observations of specific contributor subgroups indicate that COVID-19 particularly affected women hobbyists, identified using contribution patterns and email address domains.

The Impact of the COVID-19 Pandemic on Women's Contribution to Public Code

TL;DR

The findings show that the COVID-19 pandemic has disproportionately impacted women’s ability to contribute to the development of public code, relatively to men.

Abstract

Despite its promise of openness and inclusiveness, the development of free and open source software (FOSS) remains significantly unbalanced in terms of gender representation among contributors. To assist open source project maintainers and communities in addressing this imbalance, it is crucial to understand the causes of this inequality.In this study, we aim to establish how the COVID-19 pandemic has influenced the ability of women to contribute to public code. To do so, we use the Software Heritage archive, which holds the largest dataset of commits to public code, and the difference in differences (DID) methodology from econometrics that enables the derivation of causality from historical data.Our findings show that the COVID-19 pandemic has disproportionately impacted women's ability to contribute to the development of public code, relatively to men. Further, our observations of specific contributor subgroups indicate that COVID-19 particularly affected women hobbyists, identified using contribution patterns and email address domains.
Paper Structure (53 sections, 1 equation, 1 figure, 7 tables)

This paper contains 53 sections, 1 equation, 1 figure, 7 tables.

Figures (1)

  • Figure 1: Public code data used in this study. Starting from commits archived by Software Heritage, we split them into author and commit data, classifying each class along two axes: gender and country of origin.