Implicit gender bias in the diagnosis and treatment of type 2 diabetes: A randomized online study

Aims: Implicit gender biases (IGBs) are unconscious evaluations about a person based on gender. IGBs of healthcare providers may affect medical decision making. This study investigated whether IGBs and genders of patients and general practitioners (GPs) influence diagnostics and treatment decisions in the context of diabetes type 2. Methods:...

More than half the picture: Challenges at the encounter of feminism and architectural history

Historically, the work of white Western male architects has dominated architectural history education. In recent decades a large body of scholarship has attempted to critically question this, highlighting and subverting mainstream disciplinary values, which are informed by gendered, racial, classist, and colonial biases. This chapter explores...

Increasing Fairness in Targeted Advertising. The Risk of Gender Stereotyping by Job Ad Algorithms

Who gets to see what on the internet? And who decides why? These are among the most crucial questions regarding online communication spaces – and they especially apply to job advertising online. Targeted advertising on online platforms offers advertisers the chance to deliver ads to carefully selected audiences. Yet, optimizing job ads for...

One size fits some: Gender bias in design, and how to address it in design education

This thesis discusses the role of gender bias indesign and explores how attention to genderand sex in design can be addressed in designeducation, specifically in the first semester of thenew bachelor of Industrial Design Engineeringat the TU Delft that will start in 2021. As willbe discussed in this report, not consideringgender and sex in...

Using soft robotics as a medium for gender accessible STEM education of preschoolers

Only 35 percent of the recent graduates are women. The figures are even lower for traditionally male dominated workforces such as engineering and robotics as women constitute only 12 percent of the engineering workforce. It is quite evident that we cannot ignore the gender equation when it comes to bringing in more equity in the workforce. As...

Gender bias in word embeddings of different languages

Word embeddings are useful for various applications, such as sentiment classification (Tang et al., 2014), word translation (Xing, Wang, Liu, & Lin, 2015) and résumé parsing (Nasser, Sreejith, & Irshad, 2018). Previous research has determined that word embeddings contain gender bias, which can be problematic in certain applications such...