Women in Tech

A lightning talk I presented at CUSEC 2015 about Women in Tech. Examining the number of women in tech, unconscious bias and what can be done to change the stats!

Transcript

1. W O M E N I N T E C H Vanessa MacIsaac
2. D A W N O F T I M E …
3. 23% 77% 23% 77% 30% 70% 37% 63% 31% 69% 30% 70% 26% Computing Workforce = Women C U R R E N T S I T U AT I O N 30% 70% 23% 77%
4. T H E D E C L I N E mid-1980s = 37% 2012 = 18% } Female CS Majors University of Ottawa <20%
5. Venture Capital Case • identical business plan videos • change of narrator • men were favoured Men Women 68% 32% E V E N M O R E T O T H I N K A B O U T
6. Females achieve higher marks than males across most school subjects Stereotype: “women are not as good at math” Perceived easy math test: females did not underperform Perceived difficult math test: females underperformed Eliminating vs. Reinforcing S T E R E O T Y P E T H R E AT
7. W H Y W O M E N M AT T E R • Increase group’s collective intelligence • Women use the internet 17% more • Majority of tech users = women 40-60s
8. W H AT W E C A N D O • Awareness • Community engagement • Challenge your unconscious bias
9. T H A N K Y O U !