“There is no recipe, there is no one way to do things — there is only your way. And if you can recognize that in yourself and accept and appreciate that in others, you can make magic.” – Ara Katz
My grandmother was a mathematician in Australia in the 1940s. When she got married, she could only find work as a math teacher, and once she had children, she could no longer practice her love of mathematics. My mother was a scientist in Australia in the 1960s. She was accepted to study dingoes in the outback, but once they discovered she was a woman they sent her a letter that said “We rescind our offer as we now have a male applicant”. Although this was devastating for my mother, she returned to school and studied to become a science teacher, heeding the advice from her mother that the only way she could work in the field she loved was as an instructor. It all worked out for me though, because at Sydney University another student was working on a bold thesis that the schools new Super Computer could be used to survey people on their interests, encode the data onto punch cards and find love matches creating the world’s first computer dating system. I was lucky that both my mother and father volunteered to support the experiment, as that is how they became matched, fell in love and eventually had me, a true product of artificial intelligence.
We moved to Canada when I was young, and I was selected to attend the Calgary Board of Education’s Gifted and Talented Education (GATE) program, where I was given ample and early access to computers. I learned to program when I was 9 years old and spent hours a day learning about the wonders of technology. The GATE program did not have a high school however, so when I rejoined the traditional stream of education, I was startled to be told that computers were for boys. None of my new classmates were interested in computers, so I spent my high school years learning how to dumb down my intellect in an attempt to be debatable.
I was 26 before I had the courage to return to my love of computing. I had lost a decade of learning and exploring, but it wasn’t too late. I dove into technical school and quickly racked up certifications in systems administration, database administration, solutions engineering, technical and operational support. I pursued a practicum at the largest firm in my city, knowing I would be exposed to hundreds of different technical specialties. I was quickly promoted from help desk to training to tier two technical support. From there I led merger integration teams, business relationship management teams and process improvement teams.
I kept up my schooling as well, first pursuing additional technical certifications and then studying soft skills like conflict resolution, team work and organizational change management. I was trying to unravel the mystery of how to make people as excited about technical advancement as I was, and I knew I had to learn to speak their language. I became certified in project management, and I spent three months studying public speaking, but it wasn’t enough. I knew I needed to learn the language other business people thought in, in order to effectively translate the ideas that would lead to solutions, and to secure the financial investment needed to bring them to life. So I pursued a business degree, then a Master of Business Administration with a focus on Information Technology (IT) strategy. I needed an online university so I could still be home to tuck my children into bed, and the platform enabled me to listen to text books while folding laundry or walking the dogs, keeping me on top of both my studies and my responsibilities.
After fifteen years in the field, I started to become very interested in what caused so few women to be in such a fascinating, lucrative and rewarding field. Doing some research I discovered that there had been a far higher percentage of women in IT in 1984 then there were now.
The remarkable drop in women’s interest in IT seems to correlate with the move from one room super computers (where women were able to work in social groups, solving problems through collaboration) to the personal computer (working alone, man against machine, no need to speak to another human being). I theorize that this lack of connection changed the appeal of technology for women, and increased the appeal of technology to men, most notably male introverts. The problem now is that we nerds don’t do a good enough job articulating how creative, social and innovative careers in technology really can be, so we have failed to re-attract women to this amazing field. Couple that with the social media focus on IT ingénue as a lone, confident genius, and you can begin to understand how women fail to see themselves in this poorly explained career.
My understanding of the significant toll this lack of IT women has cost the field was compounded when I picked up a book by noted Neurologist Dr. Louann Brizendine called The Female Brain (She also wrote a book called The Male Brain, but it is much shorter). I wish more research had been conducted on LGBTQ2 brains, because I firmly believe that even greater diversity creates even higher collective intelligence, but to accurately reflect current science I must stick to the boring binary. Through this book Brizendine takes a deep dive into the history and application of female neurobiology. It was then, reading this book that I began to understand both my challenges and successes in the field of IT as it related to my brain structure.
The female brain has a larger prefrontal cortex, which is likely why women are better at restraining their aggressive impulses, are less territorial and are more patient. You can see evidence of this brain difference at play by reflecting on how few women are likely to punch you in the face.
Women have a larger and more active insula, which enables women to be better at reading nonverbal cues like facial expressions. The evidence of the brains difference on action here is found in the way women can be more in tuned with nonverbal social cues.
Women have a larger anterior cingulate cortex, which improves the ability to weigh options during decision making. In fact, women solve math equations in a completely different part of the brain then men do. Solving math equations in the part of the brain involved in complex decision making takes longer than using the brain part that men use for math, which I theorize is why some girls lose confidence in their math skills early in their school years, seeing how boys can be faster than they are at computation. However, if a woman sticks with math and pursues higher education in mathematics she is more likely to find accurate answers to very challenging problems, than the quick computing men.
Women have a larger and more active hippocampus, storing emotional memory in greater detail. You may find this aligns with women’s ability to remember uncanny detail of long ago disagreements, while a man has completely forgotten the entire event.
These different neurobiological strengths are needed in IT. Less territorialism may create better teamwork – I theorize that when we increase IT gender diversity we will have fewer disparate systems, more logical integration and decreased siloed data. I also theorize that women’s greater language skills allow for improved translation of technical topics, refining training approaches to demystify complex issues faster. Stronger memory can also increase empathy, making women more supportive of beginners. Lastly, research also shows that women have a greater interest in how IT can be applied to help others. Designing technology using a low proportion of these neurobiological strengths may be the primary reason we now have a disparate clutch of siloed solutions, a competitive landscape of feuding approaches and a career that fails to attract and retain so many skilled workers that IT will be short a forecasted 1.5 million workers in the next 5 years in cybersecurity alone.
Further evidence is found in the Credit Suisse study that followed 3000 international companies over a period of 10 years. Companies that had at least one woman on the board were found to be demonstrably more profitable, more resilient to market down-turn, more innovative, more collaborative and to make better decisions, as shown here:
At no time am I suggesting that a board made up only of women would perform better than a board made up of only men. Group think and diminished diversity decrease collective intelligence no matter who the majority member is. I do, however, feel that the Credit Suisse study has such significant scale and breadth that it proves women bring a unique thought process and a different lens to matters of business and technology. Making sure they have a seat at the table is a start, but making sure you push yourself to hear their divergent opinions comes next.
It will be difficult to bring women into male dominated groups, even once we succeed at filling the talent pipeline with eager technical women. Having a work group that feels like a group of friends is rewarding, we are naturally attracted to people who are similar to ourselves. The challenge is to find the courage to break free of the comfort of group think, and embrace the greater collective intelligence that is a proven biproduct of diverse teams. Increasing diversity means increasing the length of time your group will spend storming, before norming and performing. During that time new challenges will test leaders who may reconsider if diversity is worth the prolonged experience of an incohesive team. Some may long for the days before the new challenges. Each new challenge may feel compounding, as formerly male teams grapple with changes to group dynamics and alien perspectives.
I have heard some male leaders lament that adding women to their teams “just isn’t worth the hassle”. It’s not that female team members come with more challenges, it is that the challenges are new. Established technical leaders know how to deal with problems they commonly run into, and may struggle to support pregnant women in the workplace, for example. It won’t be long before they learn that pregnancy is not a business crisis, but there will be some stretching, and for some stretching is uncomfortable.
Can they stick with it long enough to see increased business solution success? Some male leaders will, and those leaders will surpass the ones who don’t. Which kind of technical leader will you be?
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