Cracking the Code on Diversity in Tech

It seems the tech industry’s ability to disrupt and innovate has found
its limit. Tech companies have acknowledged the need to diversify their
workforce, but haven’t quite been able to crack the code on how to do
so. And in a post-Trump world, candidates’ anxieties around the issue
are showing no signs
of slowing. How can an industry with innovation in its DNA, and
virtually unlimited resources, effectively address this issue? The
answer is a two-pronged approach that addresses both the next generation
of diverse workers and the qualified and underrepresented candidates
who are knocking on Silicon Valley’s door today.
For an industry that is obsessed with data, it may not be surprising
that a common pitfall is an over-emphasis on numbers. This obsession
with metrics has led to initiatives like affirmative action hiring programs set up by some of the biggest names in tech, which, unfortunately, have failed to perform as hoped.
While hiring initiatives and public revealing of diversity numbers are
steps in the right direction, they are just that -- a step, not a cure.
The
bottom line is that both short and long-term solutions are needed to
really solve this problem. Qualitative measurement of this type of
progress is difficult, but the goal should be a lasting cultural shift,
not a data point to share with the world.
Thinking long-term: Expanding talent pools.
While
some have written off the leaky STEM pipeline as a “cop out” for
companies, addressing systematic exclusion and low retention is
essential to long-term progress. According to the National Science Foundation,
women with bachelor’s degrees in math and computer sciences has
declined by about 25 percent since the mid-80s, when computer games were
aggressively marketed as a boy’s hobby. Instead of competing over the
same limited pool of diverse talent, the tech industry should come
together to create new, larger pools. Building programs that support
STEM education, vocational schools and skills training for
underrepresented groups will grow the pipeline of more diverse potential
candidates for everyone down the line.
Google, despite its less
than stellar diversity numbers, should be applauded for their long-term
thinking in this regard. The company has created industry-wide
initiatives aimed at growing the overall pool of underrepresented
talent. Last June, the internet giant debuted its Made with Code campaign in an effort to get young women excited about computer science -- a field that less than one percent of high school girls think of as part of their future. Another Google-led program, CS First, makes it possible for teachers and community volunteers to form computer science clubs for young kids.
What we can do now: Eliminate biases.
While it’s essential to
grow highly skilled and diverse labor pools, an ocean of qualified,
underrepresented candidates isn’t enough if unconscious biases continue
to derail hiring processes. Removing gatekeepers’ subjectivity and
prejudices from the process will not only help level the playing field
for candidates today, but also ensure a lower barrier for entry for
underrepresented talent pools in the future.
Researchers found
that companies using GitHub approved code written by women at a higher
rate than code written by men, but only if the gender was not disclosed.
As soon as gender was revealed, the situation reversed and the
acceptance rate for code written by women declined. This extends to race
as well; a study
by the National Bureau of Economic Research revealed that candidates
with African American names have a tougher time finding a job.
The
issue is difficult to regulate, but companies can prevent unconscious
biases from impacting their hiring decisions in a few ways. An easy
first step is to use gender-neutral language in job descriptions that
will attract a diverse pool of applicants. Using a tool like Textio
can help with this. Once the evaluation process begins, “blind” hiring
tactics can eliminate potential biases. For example, hiring tools can
hide the name, photo and university from candidates’ resumes. Some have
even suggested that virtual reality
may be the answer to masking appearances during interviews. While VR
headsets may not be realistic for everyone, creating consistent
scorecards to judge candidates can also prevent interviewers from
putting too much weight on things like physical appearance or shared
interests.
The issue of bias is evident not only when it comes to hiring, but
also retention. Unconscious biases can create a less inclusive company
culture that perpetuates traditional white patriarchal power dynamics.
People of color who enter the tech industry leave the field at more than
3.5 times the rate of white men, and research
from the Center for Talent Innovation shows that U.S. women working in
SET fields are 45 percent more likely than their male peers to leave the
industry within their first year.
The industry needs more than
superficial band-aids if it wants to create a genuine and sustainable
culture of inclusion. Real progress might mean not having much to show
the world for 18-24 months, or even 18 years in the case of initiatives
to patch the leaky STEM pipeline. The benefits of a diverse workforce
are more than just impressive figures in an annual report. Diversity
brings with it unique perspectives, experiences and solutions to the
everyday challenges businesses face. We cannot effectively create the
tools and technology of the future if we surround ourselves with
homogeneity of thought and experience today.
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Cracking the Code on Diversity in Tech
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