Improving Gender Diversity in the Julia Community
2021-07-29, 20:00–20:10 (UTC), Green

The Julia community aims to be welcoming, diverse, inclusive towards people from all backgrounds. However, the 2020 Julia User & Developer Survey found that only 3% of respondents were women, and reported no respondents who were non-binary or another gender. We, Julia Gender Inclusive, believe this needs to change. In this talk, we will share our ideas and initiatives for improving gender diversity among Julia users and developers, including outreach, community building, and mutual support.


More information about Julia Gender Inclusive can be found in our announcement post here: https://discourse.julialang.org/t/announcing-julia-gender-inclusive/63702

Interested community members can sign up here to be added to our Slack workspace, and to join our regular coffee meet-ups: https://forms.gle/tGhCckZqhzvAHoQFA

Xuan (Sh-YEN, IPA: ɕɥɛn) is a PhD student at MIT in the Computational Cognitive Science and Probabilistic Computing research groups. Their current research focuses on inferring the hidden structure of human motivations by modeling agents as probabilistic programs, in the hope of aligning AI with the higher-order goals, values, and principles that humans strive (in part) to live by.

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I am a PhD student in Computational Mechanics at Chalmers University of Technology (Sweden), where I use Julia for doing Finite Element simulations.

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