Mining Gender Bias: A Preliminary Study on Implicit Biases and Gender Identity in the Department of Computer Science at the Technical University of Munich
The concept of implicit biases is widely seen in many different areas and is regarded as one of the main reasons for the gender disparity between students pursuing degrees in Computer Sciences. Since less than 20% of Computer Science students are female, the information about gender bias in this field is of extreme importance. This research aimed to investigate if and by how much the female students in our department are affected by likely gender bias in their academic life. The data collected in this research was used to evaluate the automatic association that students have towards a specific gender and the computer science field.
Fri 18 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
14:30 - 15:10
|Continuous Experimentation for Automotive Software on the Example of a Heavy Commercial Vehicle in Daily OperationBest paper candidateResearch Track|
|Mining Gender Bias: A Preliminary Study on Implicit Biases and Gender Identity in the Department of Computer Science at the Technical University of MunichGender-Diversity|
Gender Diversity in SA
Ana Petrovska Technical University of Munich, Germany, Patricia Goldberg Technical University of Munich, Anne Brüggemann-Klein Brüggemann-Klein Technical University of Munich, Anne Nyokabi Siemens AGPre-print