Resources
Learn more through related resources below:
Women in Math
This podcast episode breaks down Wharton professor Ashley Swanson's research regarding the gender gap among top math students in high school. Throughout the interview, Professor Swanson discusses her findings as well as some possible reasons for the divide.
This article provides an overview of the history of women in mathematics, explores famous women in the field and lists some related scholarships, statistics and resources.
This article outlines the large gender disparity within the faculty of Yale's Department of Mathematics (as well as the math department of other similar institutions) and how certain faculty and student groups are attempting to increase inclusivity.
This article addresses the significant difference in A-levels math participation between male and female students, linking this gap to overall numeracy confidence and its importance in the real world.
"The Gender Divide in Math: A Youth Perspective" - Betty Lu, TEDxYouth@Jingshan
In this talk, Betty shares her experience studying mathematics as a young female and explains why it is crucial for both learners and teachers to believe in gender equity in math.
"Why Everyone is a Math Person — Including You" - Connie Vaughn, TEDxDayton
In this talk, Professor Vaughn explores the connection between math and language, the impact of a growth mindset and the influence of stereotypes on math performance, ultimately concluding that "everyone is a math person".
Women in Tech/AI
This article outlines some of the main trends for women in computing, such as the proportion of AP Computer Science female test-takers, the percentage of female computer science university degree recipients and finally a breakdown of women's participation in computing occupations.
This source features various graphs that illustrate the gender gap in computer science at both undergraduate and graduate levels, and also highlights the historical distribution of this gap at Stanford University.
This article discusses the importance of increasing gender diversity to reduce bias in AI, and presents certain steps that can be taken to to achieve this, such as supporting STEM education and increasing awareness of influential women in AI.
This article outlines the growth of AI and examines key factors contributing to the underrepresentation of women in the field, such as insufficient encouragement and a lack of role models. It also introduces several women who have made significant contributions to AI.
"Diversity & Women in Artificial Intelligence (AI)" - Caroline Chavier, TEDxKanke
In this talk, Ms Chavier addresses the underrepresentation of women in machine learning and emphasizes the importance of increasing diversity to prevent AI from developing bias.