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Code Contribution for Women in Network Science

Project igraph
Partner Organization Centre for Science and Technology Studies (CWTS), Leiden University

Brooke Foucault Welles (Northeastern University)

Funding Cycle D&I

Proposal Summary

To develop tools, training materials, and mentorship opportunities to help women and nonbinary people in network science to use and contribute code to the igraph open source network analysis library.


Proposed Work

This proposal aims to bring more women and nonbinary people into the open source community by facilitating code contributions by women and nonbinary people. This work hopes to (1) improve documentation and lower the barrier to entry for igraph; (2) organize workshops and tutorials in using igraph specifically targeted at women and nonbinary people; (3) set up a mentorship program where a team of women and nonbinary scientists are trained to assist young women and nonbinary developers. These activities will broaden participation in igraph development and help women and nonbinary research implement specific contributions, such as new methods or algorithms. This proposed project has broader scientific benefits as well. Mentoring these contributions and creating effective documentation yields several benefits: it makes the contributions more visible, allows others to make greater use of them, and stimulates scientific progress. This proposal expects the program to increase the number of women and nonbinary people who can contribute code to igraph, ensuring a larger and more diverse community to help maintain the open source package.

Partner Organization

Centre for Science and Technology Studies (CWTS), Leiden University

The Centre for Science and Technology Studies (CWTS) studies scientific research and its connections to technology, innovation, and society. This proposal’s research, bibliometric and scientometric tools, and evaluation expertise provide a solid basis for supporting research assessment and strategic decision making and for developing science policy. Networks take a central role in many aspects of our research.