The Sydney Feminists

  “Hidden Figures” made waves in the movie industry for portraying the brilliant, female, collective, computational minds behind one of the greatest scientific and engineering feats in history: putting humans on the moon. This movie showed us that there has been no lack of brilliant women contributing to STEM fields through history. We also know that women’s contributions to science, math, technology and engineering have been systematically written out of our history books.   All this complaining about not enough women idols in STEM fields for our future generations and we never stopped to wonder at what point in history we decided women were bad at math and science?  The history of patriarchy is hard to identify. For so many years, in the majority of societies around the world, patriarchy has been so widely accepted that it wasn’t even identified as a type of operating system until recently. The word “patriarchy” literally means “rule of the father” and did not em...

Try Googling women in STEM (science, technology, engineering, and math). You will find articles upon articles about how and why women are underrepresented in STEM. You might also find some articles on female role models, statistics of women in various STEM fields and the rate at which they drop out of higher education, discrimination in the workplace, and so on. The next chapter of this discussion would logically be a conversation about encouraging little girls to pursue STEM fields. Some people continue to argue that girls just aren’t interested in science and maths. This is a myth scientists have busted repeatedly. Statistics from various journal articles prove that girls and boys show equal interest in science and maths in elementary/primary school. Research also shows that girls’ performance in such subjects matches boys up until biases take over.   Similar numbers dismiss the myth that girls are “bad at maths”. The most heartbreaking part of this myth pertains to the fac...

In 2009, I developed a tendency towards migraines. Since then, I have lived in four different countries with entirely different laws on medicine. Some drugs that are banned in one country aren’t in another and vice versa. For over ten years, I’ve searched for an effective replacement for my original migraine medication. During this time, a whisper of a question turned into a deafening demand: why is it so difficult to treat an ailment as common, yet incapacitating, as a migraine? The fact is, migraines affect one in five women. This statistic is disproportionate to the number of men who suffer from migraines (one in fifteen). Migraine research is rarely sex-specific, even though hormone levels affect migraine tendencies and can differ based on sex. The stigma around migraines - ridicule, doubt and disbelief by friends, family and colleagues – might be different if 20% of the male population suffered from these debilitating attacks. Yet migraines remain one of the most underfunde...

A few months into joining my current company, I got pranked by my work friends with a USB stick that controlled my cursor, making me accidentally archive/delete emails, type words within words, and discard drafts. This prank had been making the rounds since before my time, and everyone had had a different reaction to it; some called IT immediately, while others smelt a rat and found the culprit. My choice of reaction was to spend two whole days updating mouse firmware, rebooting, reinstalling Outlook – basically to try to find what I believed was a genuine problem in my computer on my own – until I finally gave in and called IT. The colleague who pranked me (a friend of mine) christened it the Female Engineer Syndrome. Image 1 by Sara Alfageeh @TheFoofinator / http://sara-alfa.com/ The Female Engineer Syndrome is, at times, a by-product of the Imposter Syndrome (self-doubt of abilities in one’s own field of expertise), and at other times it is a reaction to others showing...

13 years ago, as I prepared for college, my father (a mechanical engineer himself) warned me that mechanical engineering won’t be easy, that I would be working out in the field and getting tan, not the most desirable look for a good Asian woman, and I pish-poshed – silently, as would a good Asian woman – because that is precisely where I wanted to see myself in a few years’ time. What he meant is that I would be overlooked, second-guessed, objectified, undermined, spoken over, spoken about like I’m not right there, maybe even underpaid, and explicitly told at some point in my career that I was surely a “diversity hire.”  Being in a field of work that is infamously rampant with toxic masculinity isn’t the only reason he was right. Women struggle on a daily basis to be considered as qualified as men in every field. The gender pay gap is a commonly quoted example of this. Based on the Workplace Gender Equality Agency under the Australian government, statistics from gender pay g...

When we think of artificial intelligence, we think of it as objective, impartial and unrelentingly logical. But we need to remember that, at one point, AI is programmed to learn by humans. To learn, machines are fed data sets and they can be full of historical or human bias. Machine learning is something we need consider in the wider community, because as forms of AI increasingly thread into our day-to-day lives, if you’re not male, or white, there could be some problems. A very easy example first. Take Pokémon Go. When Pokémon Go was released, users in New York found the gyms and PokeStops appearing more in predominantly whiteneighbourhoods .  Turns out Pokémon Go was using a crowdsourced dataset from a previous augmented reality game. The people who wrote the algorithms weren’t a diverse group and so their bias ended up in the game. If diverse groups are required to help create unbiased products then it’s worrying when you consider how unwelcoming the tech industry i...