This talk is not about programming

This talk is not about programming

A talk about gender stereotypes and unconscious bias

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Lieke22

May 04, 2016
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Transcript

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    RIDDLE A father an his son are in a car

    accident. The father dies at the scene and the son, badly injured, is rushed to the hospital. In the operating room, the surgeon looks at the boy and says, “I can’t operate on this boy. He is my son”.
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    ABOUT ME: MY JOURNEY INTO TECH • Started programming in

    2012 • Involved in Women in Tech communities: PyLadies, RailsGirls etc. • Dutch Ambassador for European Codeweek • CodePancake • Likes to talk about unconscious bias • Work in Tech: Kabisa, VHTO and currently GitHub
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    WHY MORE WOMEN IN TECH? Lack of women in tech

    means: • Loss of talent for the IT industry • Loss of opportunity for females entering the job market
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    MOST GIRLS DROP OUT OFF IT STUDIES AFTER SECONDARY EDUCATION

    • Self-image: Girls think they perform worse than they actually do in STEM related subjects • Unfamiliarity: lack of understanding about what IT means, partly due to lack of role models • Environment: girls less stimulated by teachers and parents. There are persistent stereotyped views that the sector is better suited to men.
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    UNCONSCIOUS BIAS We’re constantly overlooking much of the world around

    us and there’s actually nothing mysterious about it • We receive 11 million of bits of information every day • We can only consciously process 40 bits
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    INCLUSION PARADOX • We are all human beings and we’re

    all alike, we share an human experience • However, we’re uniquely different • We’re surrounding ourselves with people who are ‘like us’ • Despite of the fact that we’re all well-intentioned, we’re not very inclusive of others, especially when they’re not like us source: Helen Turnbull
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    THE CASE WITH THE RESUMES • Student applying for Manager

    Science Lab • 50% of the scientists received applications with a male name attached. The other 50% the same application with a female name attached. • Guess what happened? Research
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    RESULTS • “Female” applicants were rated significantly lower than the

    “males” in competence • “Female” applicants were offered a lower salary • Both male and female scientists were equally guilty of committing the gender bias
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    MORE GENDER BIAS.. • Since the 1970’s the number of

    women in orchestra’s went up from 5% to 25%, due to auditioning behind a curtain https://www.princeton.edu/pr/pwb/01/0212/7b.shtml
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    GENDER BIAS • Most people would agree that gender bias

    exists..in others • All of us, myself included, are biased Based on a quote from Dana Chardon
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    IMPLICIT ASSOCIATIONS TEST • Explicit: how much science is associated

    with men or women • Implicit: how quickly words like ‘math’ and ‘physics’ are associated with ‘boy’ or ‘men’
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    MY RESULTS: Your data suggest a strong automatic association of

    Male with Science and Female with Liberal Arts
  17. 23.

    RIDDLE A father an his son are in a car

    accident. The father dies at the scene and the son, badly injured, is rushed to the hospital. In the operating room, the surgeon looks at the boy and says, “I can’t operate on this boy. He is my son”.
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    BY THE SIMPLE ACT OF TALKING OPENLY ABOUT BEHAVIORAL PATTERNS..

    • It makes the subconscious conscious • Talking can transform minds, which can transform behaviors, which can transform communities, which can result in a better environment for (e.g.) women in tech
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    SUMMARY 1. Awareness: accept that you’re biased 2. Use inclusive

    language 3. Hold yourself and others accountable 4. Use your imagination: counter-program your brain