Future of Work

There's a persistent gender gap in computer science and engineering. This could be why

An exhibitor explains the usage of big data analytics at the booth of IBM during preparations for the CeBIT trade fair in Hanover, March 9, 2014. The world's biggest computer and software fair will be open to the public from March 10 to 14. REUTERS/Fabrizio Bensch (GERMANY - Tags: BUSINESS TELECOMS SCIENCE TECHNOLOGY) - RTR3GAYP

Masculine culture bars women from working in computer science and engineering. Image: REUTERS/Fabrizio Bensch

Sapna Cheryan
Associate Professor of Psychology, University of Washington
Share:
Our Impact
What's the World Economic Forum doing to accelerate action on Future of Work?
The Big Picture
Explore and monitor how Future of Work is affecting economies, industries and global issues
A hand holding a looking glass by a lake
Crowdsource Innovation
Get involved with our crowdsourced digital platform to deliver impact at scale
Stay up to date:

Future of Work

Many science, technology, engineering and math (STEM) areas now show a gender parity – women earn about half of the undergraduate degrees in biology, chemistry and mathematics. This, however, is not true of all STEM areas – women earn fewer than one out of every five of the undergraduate degrees in computer science and engineering.

The failure of computer science and engineering to recruit and graduate women is incredibly costly. These disciplines often offer high-paying jobs, and men’s greater participation in lucrative jobs in these fields perpetuates the gender gap in pay.

That’s not all. When predominantly male engineering teams design lifesaving products, such as airbags and heart valves, they often do so with male bodies in mind. This has far-reaching implications – some of these products have caused injuries and deaths for women and children.

My research shows gender gaps in computer science and engineering are a result of a masculine culture that dominates these fields.

Where’s the problem?

One common explanation for women’s relative absence in computer science and engineering is that they choose to have families and do not want to put in long hours at work. But evidence shows that female students are just as likely as male students to choose careers that require long days away from family, such as medicine and law.

Another prominent explanation is that women have lower math abilities than men. But studies show that high school girls perform just as well as boys on national math exams, and college women obtain about half of undergraduate math degrees.

The limitation of these approaches is that they scrutinize how women differ from men, or they call on women to change themselves to fit into male-dominated fields. These efforts can include teaching women to act more assertively and promote themselves more. But when women do these things, they often get backlash at work.

We turned our attention to scrutinizing the fields instead.

We analyzed more than 1,000 research articles on gender disparities in STEM fields to find out why biology, chemistry and math were more gender-balanced than computer science, engineering and physics.

Here is what we found

Gender disparities are greatest in STEM fields that have two prominent qualities. The first is a perceived masculine culture and the second is a lack of course experience before college.

Masculine cultures are environments that foster a greater sense of belonging and ability to be successful in boys than they do in girls.

One aspect of masculine culture is stereotypes about who excels and belongs in a field. The current image of a computer scientist is someone who is singularly focused on programming and socially awkward (think Bill Gates or Steve Jobs). These characteristics are at odds with the way that many women see themselves.

Other aspects of the masculine culture include stereotypes that women have lower abilities in these fields and a paucity of female role models.

Each of these characteristics – male-oriented stereotypes of the people in a field, negative stereotypes of women and a dearth of female role models for women – has been shown to be a powerful deterrent to women’s interest in a field. We found that computer science and engineering have all of them.

Lack of early experience

The second factor that explains why gender disparities are bigger in some STEM fields than others is a lack of mandatory pre-college coursework: Biology, chemistry and math are more often required in U.S. high schools than computer science, engineering and physics.

Countries that require more science and math in high school, such as Turkey and Ireland, have smaller gender disparities in STEM at the college level than the United States.

Mandatory coursework is important because without it, students turn to their preexisting perceptions and stereotypes about the field to decide whether to pursue it. Taking courses gives students the opportunity to learn that their stereotypes about who can be successful in the field are narrow and inaccurate. Mandatory classes means that students have the potential to see many girls doing well in them. And mandatory coursework allows students to get to know potential computer science role models through their teaching staff. In doing these things, mandatory coursework helps to counteract masculine cultures.

How to reduce the gap

Several measures are being taken to bring more students into computer science in the U.S.: Earlier this year, President Obama allocated US$4 billion to making computer science more widely available in schools through the White House’s Computer Science for All initiative. Last year, Congress added computer science and engineering to the list of core academic subjects. A nonprofit, Code.org, is working on bringing computer science to every K-12 school in the country.

These efforts are important. However, if these efforts reinforce rather than disrupt the masculine culture of the field, women’s underrepresentation could get worse. Closing gender gaps will require broadening the culture of these fields so that everyone feels welcome.

At Harvey Mudd, a private science and engineering college in California, computer science was mandatory for decades, but women made up only 10 percent of computer science graduates in the mid-2000s. It was not until their computer science department made purposeful changes to alter their culture that the proportion of women increased to over 50 percent.

They did this by revamping their introductory courses to promote an image of computer science that extended beyond the male “geek.” They also educated their faculty on how to avoid stereotyping, and exposed their female majors to relatable role models. Making computer science mandatory alone was not sufficient – gender gaps in participation only closed once women found a culture in which they felt that they belonged.

To eliminate gender disparities in computer science and engineering in college, it will not be enough to provide students with more early coursework. Girls and boys must feel an equal sense of belonging in these learning environments and the fields more broadly.

Loading...
Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Related topics:
Future of WorkEconomic ProgressGender Inequality
Share:
World Economic Forum logo
Global Agenda

The Agenda Weekly

A weekly update of the most important issues driving the global agenda

Subscribe today

You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.

From 'Quit-Tok' to proximity bias, here are 11 buzzwords from the world of hybrid work

Kate Whiting

April 17, 2024

3:12

About Us

Events

Media

Partners & Members

  • Join Us

Language Editions

Privacy Policy & Terms of Service

© 2024 World Economic Forum