Coding Like a Girl
How teams with women gain with the diversity.
About me
• Major in Digital Game
Development
• Senior Software Engineer with 7
years in the market
• Web Development
• Women in Technology Advocate
• Lego fanatic =)
Diversity
• Gender
• Racial
• Ethnic
• Sexual Orientation
Bias
Bias
• Project Implicit® from Harvard University
• Preferences, attitudes and memory
Project Implicit®
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
IAT Scores
Male with Science

Female with Liberal Arts
Female with Science

Male with Liberal Arts
Source:ProjectImplicit
Like a Girl
“You know, you are really intelligent, for a girl.”
–Undisclosed friend
Like a Girl
• You drive like a girl
• You punch like a girl
• You fight like a girl
• You [verb] like a girl
Diversity Reports
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*
Source:CompaniesDiversityReports
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*
Source:CompaniesDiversityReports
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*
Source:CompaniesDiversityReports
High 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
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
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
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
Why diversity matters?
Diversity Increases
Group Performance
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
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
Diversity Powers
Innovation
Innovation
• Competitive advantage
• Diverse groups outstanding performance
• Patents with mixed gender cited more often
Source: Ernest & Young, Prof. Anita Williams Woolley, Anita Borg Institute
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
Neil deGrasse Tyson
Neil Degrasse Tyson
Astrophysicist
–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.”
Thank you
• Twitter: @gabidavila
• Web: http://davila.blog.br
• Email: gabidavila@gmail.com
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

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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 =)
  • 3. Diversity • Gender • Racial • Ethnic • Sexual Orientation
  • 5. Bias • Project Implicit® from Harvard University • Preferences, attitudes and memory
  • 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
  • 10. “You know, you are really intelligent, for a girl.” –Undisclosed friend
  • 11. Like a Girl • You drive like a girl • You punch like a girl • You fight like a girl • You [verb] like a girl
  • 13. 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* Source:CompaniesDiversityReports
  • 14. 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* Source:CompaniesDiversityReports
  • 15. 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* Source:CompaniesDiversityReports
  • 16. High 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
  • 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.”
  • 30. Thank you • Twitter: @gabidavila • Web: http://davila.blog.br • Email: [email protected]
  • 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