ECSA 2020 (series) / Gender Diversity in SA / Mining Gender Bias: A Preliminary Study on Implicit Biases and Gender Identity in the Department of Computer Science at the Technical University of Munich
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
Fri 18 Sep 2020 14:50 - 15:10 at ECSA 2020 Teams Channel - S12: Applications Chair(s): Matthias Galster, Elisa Yumi Nakagawa
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
Fri 18 Sep
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
14:30 - 15:10 | S12: ApplicationsGender Diversity in SA / Research Papers at ECSA 2020 Teams Channel Chair(s): Matthias Galster University of Canterbury, Elisa Yumi Nakagawa University of São Paulo Virtualization support: Roberta Capuano | ||
14:30 20m | Continuous Experimentation for Automotive Software on the Example of a Heavy Commercial Vehicle in Daily OperationBest paper candidateResearch Track Research Papers | ||
14:50 20m | 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 AG Pre-print |