The gendered classification of women’s labor revealed how bias shaped the hierarchy of professions, with “soft skills” becoming a catchall for work associated with women, even when it required technical expertise and innovation. We will discuss how this impacted women in tech, and how we can change it.
AI & Machine Learning
Amanda Sterner, Josefin Stenmark | Co-native
Sustainability & Innovation
Maha Bouzeid, Johanna Lakso, Yvonne Ruwaida
Code & Programming | Community & Social Impact
Betelhem Dessie
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info@womenintech.seOur membership is completely free and doesn't come with any obligations. You'll hear from us with news, invitations to meet-ups, the main conference, digital talks and the occasional question, offering or survey.
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