A Case Study of Data Science Seminar on Gender Gap

Abstract

Gendered Innovations have focused on analyzing not only gender bias but also intersectional bias. Data science skills are essential for data analysis to realize Gendered Innovations. Ochanomizu University has a unique data science curriculum for all undergraduate students and employs literary works as teaching materials in regular classes. Here we presented teaching materials to understand the gender gap hidden in recruitment performance and held a data science seminar for students interested in solving social problems using the presented teaching materials. This paper introduces the presented teaching materials and feedback from participants.