New research from Accenture and Girls Who Code shows that the gender gap in computing is getting worse and has severe implications for the U.S. economy. If we act now, we can triple the number of women in computing by 2025. Let’s #CrackTheCode. Learn more at www.accenture.com/CrackingTheGenderCode.
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Cracking the Gender Code
1. GET 3X MORE WOMEN
IN COMPUTING
CRACKING
THE GENDER
CODE
3. But women’s share of the U.S. computing workforce will continue to
DECLINE FROM 24% TO 22% IN THE NEXT 10 YEARS UNLESS WE
TAKE ACTION NOW.
4. ASKILLSSHORTAGE
IS ALREADY CHALLENGING U.S.BUSINESSES.
In 2015, there were 500,000 new computing jobs but fewer than
40,000new computer science graduates to fill them.
This shortage is a fundamentaleconomicchallengefortheU.S.
economy and its global competitiveness.
10. The report identifies which factors make the most
difference at each stage of a girl’s educational journey.
Computing is
for girls (+25%)
Experience of
computing(+18%)
Inspiring teacher (+16%)
Computing is ‘cool’ (+11%)
No friends studying
computing (-33%)
Not enjoyable (-31%)
Computing not
taught (-30%)
Inspiring teachers
(+16%)
Positive role model (+14%)
HIGH
SCHOOL
COLLEGE
JUNIOR
HIGH
SCHOOL
ACTNOW
11. SUSTAIN
ENGAGEMENT
IN HIGH SCHOOL
INSPIRE
A CAREER
AFTER COLLEGE
SPARK
INTEREST IN
JUNIOR HIGH
GIRLS ARE 4X MORE LIKELY
to go into computing or coding
as adults if they had early
exposure to games.
73% OF HIGH SCHOOL GIRLS
who were interested in studying
computing had a teacher who
encouraged them.
58% OF WOMEN WORKING
IN COMPUTING did not major
in computer science as college
undergraduates. The door to
computing never closes.
ACTNOW
13. ABOUTTHERESEARCH
Accenture and Girls Who Code carried out in-depth analysis to identify the factors
that most influence decisions on studying and working in computing. This included
qualitative research among girls aged 12-18, undergraduates, young workers, parents
and teachers. We used the results to interview over 8,000 individuals to validate and
quantify the findings. We then created a model to estimate the potential changes
to female participation under a number of scenarios, and to calculate the potential
impact on women’s earnings in the U.S.