Implicit Gender Bias in Computer Science -- A Qualitative Study

TL;DR

This study explores how implicit gender bias and social obstacles hinder women's participation in computer science, emphasizing the importance of role models, transparency, and leadership measures to promote gender diversity.

Contribution

It provides a qualitative analysis of social and structural barriers affecting women in computer science and suggests targeted strategies to enhance gender diversity.

Findings

Implicit gender bias significantly impacts women's access to computer science.

Role models and transparent job descriptions can encourage women's interest.

Leadership measures can effectively promote gender diversity.

Abstract

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.