Implicit Gender Bias in Computer Science -- A Qualitative Study
This addresses gender diversity issues in the tech sector, but it is incremental as it builds on existing qualitative research without introducing new methods or data.
The study investigated implicit gender bias as a barrier to women's entry into computer science, finding that socialization, cultural obstacles, and lack of role models hinder interest development, with proposed solutions including increased transparency and leadership interventions.
Gender diversity in the tech sector is - not yet? - sufficient to create a balanced ratio of men and women. For many women, access to computer science is hampered by socialization-related, social, cultural and structural obstacles. The so-called implicit gender bias has a great influence in this respect. The lack of contact in areas of computer science makes it difficult to develop or expand potential interests. Female role models as well as more transparency of the job description should help women to promote their - possible - interest in the job description. However, gender diversity can also be promoted and fostered through adapted measures by leaders.