Scaling API-first – The story of a global engineering organization
Coding like a Girl
1. Coding Like a Girl
How teams with women gain with the diversity.
2. About me
• Major in Digital Game
Development
• Senior Software Engineer with 7
years in the market
• Web Development
• Women in Technology Advocate
• Lego fanatic =)
7. Project Implicit®
0% 7.5% 15% 22.5% 30%
1%
3%
6%
18%
18%
28%
26%
Strong automatic association of Male with
Science and Female with Liberal Arts
Moderate automatic association of Male with
Science and Female with Liberal Arts
Slight automatic association of Male with
Science and Female with Liberal Arts
Little to no association between
genders and academic domains
Slight automatic association of Male with
Liberal Arts and Female with Science
Moderate automatic association of Male with
Liberal Arts and Female with Science
Strong automatic association of Male with
Liberal Arts and Female with Science
Source: Project Implicit
8. IAT Scores
Male with Science
Female with Liberal Arts
Female with Science
Male with Liberal Arts
Source:ProjectImplicit
17. All Areas
0%
20%
40%
60%
80%
100%
Apple Facebook Google Twitter Yahoo
1%
37%30%30%31%30%
62%
70%70%69%70%
Male Female Non Disclosed*
Tech
0%
20%
40%
60%
80%
100%
Apple Facebook Google Twitter Yahoo
1%
15%10%17%15%20%
85%
90%
83%85%
80%
Male Female Non Disclosed*
Non-tech
0%
20%
40%
60%
80%
100%
Apple Facebook Google Twitter Yahoo
1%
52%50%48%47%35%
47%50%52%53%
65%
Male Female Non Disclosed*
Senior Level
0%
20%
40%
60%
80%
100%
Apple Facebook Google Twitter Yahoo
1%
23%21%21%23%28%
77%79%79%77%
72%
Male Female Non Disclosed*
Source:CompaniesDiversityReports
18. Portrait of the tech
workforce facts
• Men 2.7x more chance of leading positions
• Women gravitates towards other women
• Lack of role models
• Women values flexibility more than men
Source: Anita Borg Institute, Climbing the technical ladder
19. Rank Levels
Source: Anita Borg Institute, Climbing the technical ladder
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Women Men
20.2%
10.9%
55.2%
56%
24.6%
33.1%
Entry Mid High
22. Group Performance
• Collective Intelligence is increased
• Diverse teams are more efficient
• Better problem solving
• More innovative solutions
Source: Ernest & Young, Prof. Anita Williams Woolley, Anita Borg Institute
23. Group Performance
• Three factors:
1 - Social sensitivity
2 - Numbers of speaking members
3 - Proportion of females on the group
Source: Ernest & Young, Prof. Anita Williams Woolley, Anita Borg Institute
25. Innovation
• Competitive advantage
• Diverse groups outstanding performance
• Patents with mixed gender cited more often
Source: Ernest & Young, Prof. Anita Williams Woolley, Anita Borg Institute
26. Innovation
Source: London Business School, Anita Borg Institute
"If people think alike, then no matter how smart they are they most likely will get
stuck at the same locally optimal solutions. Innovating, requires thinking differently.
That's why diversity powers innovation."
–Scott Page, University of Michigan
29. –Neil deGrasse Tyson, at 2009 New York Conference - Link
“Before we start talking about genetic differences,
you got to come up with a system that is equal
opportunity. Then we can have that conversation.”
31. References
• ANITA BORG INSTITUTE - Climbing the Technical Ladder
• ANITA BORG INSTITUTE - The Case for Investing on Women
• ANITA BORG INSTITUTE - Women Technologists Count
• ANITA WOLLEY - Evidence for a Collective Intelligence Factor in the
Performance of Human Groups
• CATALYST, Why Diversity Matters?
• ERNST & YOUNG - Groundbreakers
• ILLUMINATE VENTURES - High Performance Entrepreneurs