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Open Source Bridge - Keynote - Programming Diversity

Open Source Bridge - Keynote - Programming Diversity

It's been scientifically proven that more diverse communities and workplaces create better products and the solutions to difficult problems are more complete and diverse themselves. Companies are struggling to find adequate talent. So why do we see so few women, people of color, and LGBTQ people at our events and on the about pages of our websites? Even more curiously, why do 60% of women leave the tech industry within 10 years? Why are fewer women choosing to pursue computer science and related degrees than ever before? Why have stories of active discouragement, dismissal, harassment, or worse become regular news?
In this talk we’ll examine the causes behind the lack of diversity in our communities, events, and workplaces. We’ll discuss what we can do as community members, event organizers, and co-workers to not only combat this problem, but to encourage positive change by contributing to an atmosphere of inclusivity.

Objectives:
Educate about the lack of diversity and why it is a problem
Examine what is contributing to both the pipeline issue as well as attrition
Isolate what is and isn't working
Inspire direct action by examining our own behavior and learning more about the people around us so we can empathize better

Ashe Dryden

June 20, 2013
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  1. @ashedryden in the US, women on average earn 80.9% of

    what men do Source: ABC: How to end the wage gap between men and women, http:/ /abcnews.go.com/ABC_Univision/News/women- make-men/story?id=18702478#.UZt3yitASqk
  2. @ashedryden but Latina women earn 59.3% of what white men

    do Source: ABC: How to end the wage gap between men and women, http:/ /abcnews.go.com/ABC_Univision/News/women- make-men/story?id=18702478#.UZt3yitASqk
  3. @ashedryden the unemployment rate in the US is ~7.5% Source:

    High Rate of Unemployment for the Blind, http:/ / work.chron.com/high-rate-unemployment-blind-14312.html
  4. @ashedryden the unemployment rate for the blind is 70-75% Source:

    High Rate of Unemployment for the Blind, http:/ / work.chron.com/high-rate-unemployment-blind-14312.html
  5. @ashedryden Privilege unearned advantages a person gets for a perceived

    trait they possess, putting them in the “normal” or “default” group
  6. @ashedryden Better Education Access to Technology at an Earlier Age

    Higher Pay Assumed Competency Quality of Social/Professional Network Seen as Skill Set Instead of Traits Easily Fit Into/Identify with Subculture
  7. @ashedryden Stereotype Threat anxiety or concern where a person has

    the potential to confirm a negative stereotype about their social group
  8. @ashedryden Marginalized Someone pushed to the edge of a group

    and accorded lesser importance; a minority or sub- group being excluded, their needs or desires being ignored.
  9. @ashedryden Source: Moss-Racusin, et al. Science faculty’s subtle gender biases

    favor male students, 2012 scientists & STEM professors do this to other scientists & STEM professors
  10. @ashedryden Source: Mercury News. Blacks, Latinos, and Women lose ground

    in tech companies, 2011 Women Hispanic Black Asian White 0% 25% 50% 75% 100% Tech Industry US Population Tech Industry vs US Population
  11. @ashedryden India 8% of CS students Source: Anita Borg Institute,

    State of Women in Technology Fields Around the World
  12. @ashedryden US 17% of CS students Source: Anita Borg Institute,

    State of Women in Technology Fields Around the World
  13. @ashedryden UK 18.2% of CS students Source: Anita Borg Institute,

    State of Women in Technology Fields Around the World
  14. @ashedryden France 20% of CS students Source: Anita Borg Institute,

    State of Women in Technology Fields Around the World
  15. @ashedryden Brazil 20% of CS students Source: Anita Borg Institute,

    State of Women in Technology Fields Around the World
  16. @ashedryden South Africa 25% of CS students Source: Anita Borg

    Institute, State of Women in Technology Fields Around the World
  17. @ashedryden Bulgaria 73% of CS students Source: Anita Borg Institute,

    State of Women in Technology Fields Around the World
  18. @ashedryden sales revenue, number of customers, market share, and profits

    relative to competitors increase Source: Does Diversity Pay?, Cedric Herring, AMERICAN SOCIOLOGICAL REVIEW, 2009, VOL. 74 (April:208–224)
  19. @ashedryden solve complex problems better and faster Source: Scott Page,

    The difference: How the power of diversity creates better groups, firms, schools, and societies. Princeton University Press, 2009
  20. @ashedryden more creative & stimulated through persistent exposure to minority

    perspectives Source: Charlan Jeanne Nemeth, Differential Contributions of Majority and Minority Influence.
  21. @ashedryden make better decisions, generate more innovation Source: Caroline Simard,

    Ph.D., Obstacles and Solutions for Underrepresented Minorities in Technology, at 8, Anita Borg Institute for Women and Technology (2009)
  22. @ashedryden people who don’t identify and aren’t represented by the

    geek stereotype are turned off by impression of someone who represents the stereotype Source: Enduring Influence of Stereotypical Computer Science Role Models on Women’s Academic Aspirations, Cheryan 2012
  23. @ashedryden men are 2.7 times more likely than women to

    be promoted to a high-ranking job, such as vice president or senior manager Source: Mercury News 2010, http:/ /www.mercurynews.com/ ci_14382477