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This talk is not about programming

This talk is not about programming

A talk about gender stereotypes and unconscious bias

Lieke22

May 04, 2016
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  1. Lieke Boon
    @Lieke2208
    www.codepancake.com
    This talk is not about programming..

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  2. 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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  3. 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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  4. 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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  5. % FEMALE STUDENTS IN STEM (HIGHER) EDUCATION (SCIENCE, MATH,
    COMPUTING) IN 2012
    Source: VHTO
    Factsheet

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  6. 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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  7. 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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  8. 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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  9. PILOTS
    GENDER BIAS

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  10. 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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  11. 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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  12. 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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  13. 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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  14. TEST
    (LEAVING THIS EXERCISE OUT FOR THE ONLINE VERSION, BETTER TO
    TAKE IT YOURSELF :))

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  15. 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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  16. MY RESULTS:
    Your data suggest a strong automatic association of Male with Science and
    Female with Liberal Arts

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  17. 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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  18. Source: VHTO

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  19. GENDER BIAS COULD BE A MAJOR THREAT

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  20. BE AWARE THAT YOU’RE BIASED
    Take the Implicit Associations Test

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  21. USE INCLUSIVE LANGUAGE

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  22. HOLD YOURSELF AND OTHERS ACCOUNTABLE..
    POINT IT OUT

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  23. 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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  24. USE YOUR IMAGINATION: COUNTER-PROGRAM YOUR BRAIN

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  25. 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

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  26. IT’S NOT ABOUT PROGRAMMING…..
    It’s about the way YOU are programmed

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  27. Lieke Boon
    @lieke2208
    www.codepancake.com
    THANK YOU!

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  28. https://implicit.harvard.edu/implicit/

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