The Aurora Tech Award aims to support women founders. Our research has identified 
a significant gap between the number of startups founded by women vs. those founded by men.

3%
89%

Currently, significantly more men are building careers in technology than women.

64%
36%

Total

77%
>F
23%
<F

Male

52%
<M
48%
>M

Female

n=299 (Total)
Yes
No
Significantly higher/lower than opposite gender at 95% significance level: >M,F/<M,F

Reasons for choice of educational direction

Brazilian students choose their educational paths based on interest 
and knowledge rather than gender stereotypes.

There's a lack of information about STEM projects in schools. And the most popular reasons  for choosing non-STEM subjects among women are bullying and special attention directed at girls in IT.

STEM subjects
n=126 (Total)
42%
  • For me STEM subjects are interesting
    52%
  • STEM subjects are relevant to the
    career I plan to choose
    48%
  • I’m better in STEM subjects
    37%
  • In school teachers make STEM
    subjects appealing for me
    24%
  • There was a lot of information about STEM
    careers at school
    17%
  • STEM subjects are for everyone, there is
    no gender connection
    14%
  • I am okay with a primarily male
    environment
    4%
non-STEM subjects
n=173 (Total)
58%
  • I’m better in humanities or other
    subjects
    34%
  • There was a lack of information about
    possible STEM careers at school
    34%
  • In school teachers didn’t make STEM
    subjects appealing for me
    19%
  • STEM subjects are not relevant to the
    career I plan to choose
    11%
  • Girls who study IT experience bullying/
    special attention
    10%
    Top-3 reason of choice
    among women
  • For me STEM subjects are not interesting
    8%
  • I didn’t want to be active
    in a male dominated environment
    3%
  • STEM subjects are for boys only,
    
there is no place for women
    1%
  • Other
    2%
option was shown only for women

Most information is found by active search

Meanwhile, government institutions are the bottom 2 sources of information about STEM careers.

Information channels about tech careers

  • Publications

    38%
  • Social media

    33%
  • Professional websites

    32%
Details
  • Read publications
    38%
  • Saw information on social media
    33%
  • Found information on professional
    websites
    32%
  • I conduct research
    
about STEM careers by myself
    31%
  • Visited conferences
    
and got knowledge there
    27%
  • Found information
    
in online forums
    26%
  • My friends/relatives worked
    
in STEM companies
    22%
  • I was told about it in school
    19%
  • Official information
    
from the authorities
    16%
Significantly higher/lower than opposite gender at 95% significance level: >M,F/<M,F

Job offerings from companies

There is no statistically significant difference in job offerings between genders.

n=145 (Male)
Yes
85%
No
15%
n=152 (Female)
Yes
77%
No
23%
Significantly higher/lower than opposite gender at 95% significance level: >M,F/<M,F

Barriers to, and reasons for working in technology

In Brazil, the main reason given for choosing to work in technology is personal preference.

Others choose to work in technology for economic reasons (salaries and career growth).

The dominant barriers are: competitive labor market, fast-paced work environment and high pressure to meet deadlines.

Details
  • Reasons to work in technology
  • Interest in technology

    and its possibilities
    53%
  • Attractive salary and benefits
    49%
  • Opportunity for career growth
    48%
  • Personal interest
    43%
  • Access to the latest technology
    
and tools
    43%
  • Possibility to work
    
from home or remotely
    38%
  • Job stability
    37%
  • A challenge and the creative
    
freedom it offers
    33%
  • Desire to make a positive impact
    in the world
    31%
  • Desire to work with an innovative
    and modern team
    29%
  • Strong sense of purpose
    23%
  • Other
    1%
  • Barriers to working in technology
  • The market is very
    competitive
    42%
  • Excessive competition
    
for job opportunities
    30%
  • Fast-paced work environment
    29%
  • High pressure to meet deadlines
    25%
  • Difficulty keeping up with the latest technological advances
    18%
  • Limited opportunities

    for career progression
    17%
  • Lack of sufficient training opportunities
    16%
  • Lack of job security
    9%
  • Unclear job roles and responsibilities
    9%
  • Difficulty building and maintaining customer relations
    8%
  • Other
    2%
Significantly higher/lower than opposite gender at 95% significance level: >M,F/<M,F

Taking into account the various factors at play, including disparities in access to resources, traditional gender roles 
and expectations, existing government policies and support mechanisms for startups, the Women in IT research tested 
the hypothesis that there is also a need for local role models

Role models

ROLE MODELS: STEM-workers

For men

  • Mark Zuckerberg
    10%
  • Steve Jobs
    10%
  • Elon Musk
    10%

For women

  • Ada Lovelace
    11%
  • Grace Hopper
    7%
  • Carol Shaw
    6%

ROLE MODELS: non-STEM-workers

For men

  • Bill Gates
    13%
  • Elon Musk
    13%
  • Mark Zuckerberg
    11%

For women

  • Carol Shaw
    7%
  • Ada Lovelace
    5%
  • Gisele Bundchen
    4%

We find evidence for this in the fact that, of all role models named, only two categories are considered local: close circle (eg. parents, university professors, etc) and Gisele Bundchen.

Details

STEM workers

  • Mark Zuckerberg
    10%
  • Steve Jobs
    10%
  • Elon Musk
    10%
  • Bill Gates
    9%
  • People of close circle
    7%
  • Ada Lovelace
    11%
  • Grace Hopper
    7%
  • Carol Shaw
    6%
  • Susan Wojcicki
    5%
  • Hedy Lamarr
    4%

non-STEM workers

  • Bill Gates
    13%
  • Elon Musk
    13%
  • Mark Zuckenberg
    11%
  • Steve Jobs
    11%
  • Carol Shaw
    7%
  • Ada Lovelace
    5%
  • Gisele Bundchen
    4%