Coding like a girl - Youtube presentation
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The document discusses the importance of diversity in technology teams, highlighting the advantages of gender, racial, and ethnic diversity in improving performance and innovation. Data shows that diverse teams yield better problem-solving capabilities and efficiency, with women often having fewer leadership opportunities despite their contributions. Key statistics and references support the argument that diversity not only enhances group dynamics but also drives innovation, underscoring a call for equal opportunity in the tech industry.
![L I K E A G I R L
• You drive like a girl
• You punch like a girl
• You fight like a girl
• You [verb] like a girl](https://image.slidesharecdn.com/diversity2-140923175535-phpapp02/85/Coding-like-a-girl-Youtube-presentation-16-320.jpg)
Coding like a girl - Youtube presentation
- 1. C O D I N G L I K E A G I R L How teams with women gain with diversity
- 2. WHO A M I ? Gabriela
- 3. SÃO LUÍS TERESINA PALMAS BRASÍLIA ACRE RIO BRANCO FORTALEZA RIO GRANDE DO NORTE MACEIÓALAGOAS AMAPÁMACAPÁ AMAZONAS BOA VISTA RORAIMA MANAUS BAHIA CEARÁ SALVADOR ESPÍRITO SANTO VITÓRIA GOIÂNIA GOIÁS MARANHÃO MATO GROSSO CUIABÁ PORTO VELHO CAMPO GRANDE MATO GROSSO DO SUL MINAS GERAIS BELO HORIZONTE PARÁ BELÉM JOÃO PESSOA PARAÍBA SÃO PAULO PARANÁ CURITIBA PIAUÍ RECIFE PERNAMBUCO RIO DE JANEIRO RIO DE JANEIRO NATAL RIO GRANDE DO SUL PORTO ALEGRE RONDÔNIA SÃO PAULO SANTA CATARINA FLORIANÓPOLIS ARACAJU SERGIPE TOCANTINS Where I live Where I am from Gabriela D'Ávila
- 4. ABOUT ME • Major in Digital Game Development • Senior Software Engineer with 7 years in the market • Web Development • Women in Technology Advocate • Lego fanatic =) LEGO HUGE FAN Developer
- 5. R E A L LY
- 7. WHAT TO E X P E C T • What are the concepts? • What is the current scenario? • Why diversity matters?
- 8. D I V E R S I T Y • Gender • Racial • Ethnic • Sexual Orientation
- 9. B I A S
- 10. B I A S • Project Implicit® from Harvard University • Preferences, attitudes and memory
- 11. P RO J E C T I M P L I C I T®
- 12. P RO J E C T I M P L I C I T ® Strong automatic association of Male with 26% Science and Female with Liberal Arts Moderate automatic association of Male with 3% 1% 6% 18% 18% 28% 0% 7.5% 15% 22.5% 30% 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
- 13. I AT S C O R E S Source: Project Implicit Male with Science Female with Liberal Arts Female with Science Male with Liberal Arts
- 14. L I K E A G I R L
- 15. “You know, you are really intelligent, for a girl.” –Undisclosed friend
- 16. L I K E A G I R L • You drive like a girl • You punch like a girl • You fight like a girl • You [verb] like a girl
- 17. D I V E R S I T Y R E P O RT S
- 18. A L L A R E A S 100% 80% 60% 40% 20% 0% 1% 30% 31% 30% 30% 37% 62% 70% 69% 70% 70% Apple Facebook Google Twitter Yahoo Male Female Non Disclosed* Source: Companies Diversity Reports
- 19. 100% 80% 60% 40% 20% 0% 1% TECH 20% 15% 17% 10% 15% 85% 90% 85% 83% 80% Apple Facebook Google Twitter Yahoo Male Female Non Disclosed* Source: Companies Diversity Reports
- 20. NON-TECH 100% 80% 60% 40% 20% 0% 1% 35% 47% 48% 50% 52% 47% 52% 50% 53% 65% Apple Facebook Google Twitter Yahoo Male Female Non Disclosed* Source: Companies Diversity Reports
- 21. H I G H L E V E L 100% 80% 60% 40% 20% 0% 1% 28% 23% 21% 21% 23% 77% 79% 79% 77% 72% Apple Facebook Google Twitter Yahoo Male Female Non Disclosed* Source: Companies Diversity Reports
- 22. TECH 100% 80% 60% 40% 20% 0% 1% 20% 15% 17% 10% 15% 85% 90% 85% 83% 80% Apple Facebook Google Twitter Yahoo Male Female Non Disclosed* 30% 31% 30% 30% 37% 70% 69% 70% 70% NON-TECH 100% 80% 60% 40% 20% 100% 80% 60% 40% 20% 0% 1% 62% 1% 35% 47% 48% 50% 52% 47% 52% 50% 53% 65% Apple Facebook Google Twitter Yahoo Male Female Non Disclosed* SENIOR LEVEL 100% 80% 60% 40% 20% 0% 1% 28% 23% 21% 21% 23% 77% 79% 79% 77% 72% Apple Facebook Google Twitter Yahoo Male Female Non Disclosed* ALL AREAS 0% Apple Facebook Google Twitter Yahoo Male Female Non Disclosed* Source: Companies Diversity Reports
- 23. C U R R E N T S C E N A R I O O F T H E T E C H WORKFORCE • 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
- 24. R A N K L E V E L S Entry Mid High 10.9% 20.2% 55.2% 56% 24.6% 33.1% Source: Anita Borg Institute, Climbing the technical ladder 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Women Men
- 25. W H Y D I V E R S I T Y MAT T E R S ?
- 26. D I V E R S I T Y I N C R E A S E S G RO U P PERFORMANCE
- 27. 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
- 28. 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
- 29. D I V E R S I T Y P OW E R S INNOVAT I O N
- 30. INNOVAT I O N • Competitive advantage • Diverse groups outstanding performance • Patents with mixed gender cited more often Source: Ernest & Young, Prof. Anita Williams Woolley, Anita Borg Institute
- 31. "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 Source: London Business School, Anita Borg Institute
- 32. N E I L D E G R A S S E TYSON
- 33. N E I L D E G R A S S E TYSON Astrophysicist
- 34. “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.” –Neil deGrasse Tyson, at 2009 New York Conference - Link
- 35. T H A N K YOU • Twitter: @gabidavila • Web: http://gabriela.io • Email: [email protected]
- 36. R E F E R E N C E S • 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