Monitoring Female Participation in Computer Programming Tasks
A groundbreaking dataset, curated by researchers at the University of Bologna and the Polytechnic Institute of Paris, has shed light on the contributions of women to publicly available software projects over the past five decades.
The dataset, which comprises over 33 million authors who wrote 1.7 billion commits from 1970 to 2020, found that only 1.6 million authors in the dataset were women. However, the ratio of women's authorship decreased from 2019 to 2020, raising concerns about the impact of the COVID-19 pandemic on women's participation in public code projects.
The dataset, which does not provide personal stories or anecdotes related to women's contributions, does offer valuable insights into the trends in women's participation in public code projects. It is likely that this dataset is from an academic study or dataset shared by the researchers who conducted the analysis.
To access this dataset, you can look for academic papers or preprints addressing women's authorship or contributions in software projects spanning decades, focusing on the impact of COVID-19 in 2020. These papers often include links to the data or provide data upon request.
Additionally, you can check repositories like GitHub, Zenodo, or institutional databases where computer science and gender studies researchers might deposit project contribution data used in their analyses. If the dataset is not publicly linked but mentioned in a study, you can contact the corresponding authors for more information.
The dataset may include metadata from open-source repositories, contribution logs, or bibliometric analyses covering 1970-2020, with yearly trends showing the decline in women’s authorship around 2020, possibly due to pandemic-related factors.
While the image accompanying the article does not offer any explanations for the decreased ratio of women authorship from 2019 to 2020, it may be relevant to the topic of women's contributions to publicly available software projects. Unfortunately, the image does not provide any solutions or recommendations for increasing women's participation in public code projects.
As we continue to explore this dataset and other related research, it is crucial to address the gender imbalance in the tech industry and work towards creating a more inclusive environment for all contributors.
- The groundbreaking dataset, primarily focused on women's contributions to publicly available software projects, has valuable insights into data-and-cloud-computing trends in health-and-wellness and science sectors.
- The decline in the ratio of women's authorship from 2019 to 2020, as seen in the dataset, raises concerns about the impact of the COVID-19 pandemic on women's participation in the technology industry.
- Researchers in the field of data-and-cloud-computing can use this dataset in combination with technology and AI to analyze and propose solutions for increasing women's participation in public code projects.
- To further the study of women's authorship in software projects, a combination of academic research, open-source repositories like GitHub, and institutional databases can offer comprehensive data and potential recommendations for promoting women's health-and-wellness and overall participation in the tech industry.
