Tag Archives: women

Ada Lovelace Day: Satisfy your curiosity, Don’t conform

As you may or may not have heard, today is Ada Lovelace day – a day to celebrate, encourage, highlight and prompt discussion on women in STEM (science, technology, engineering and maths). As you’ll have guessed from my site name, I am pretty passionate about all things STEM, and being female, I couldn’t miss the opportunity to offer my thoughts on women in these magnificent fields.

Before I begin, Ada Lovelace was a mathematician who is best known for writing a comprehensive article on Charles Babbage’s ‘Analytical Engine’ (a general-purpose computer which was proposed 100 years before one was actually built). What was so special about her article is that she was able to articulate the possibilities that lay in computing, taking it far beyond number calculations into the realms of complex problem solving and sheer creation. Her description of how the machine could compute Bernoulli numbers is considered to be the first publication of a computer algorithm – making her widely recognised as the first computer programmer.

I’ve always been a little bit hesitant when it comes to talking about women in STEM, mainly because I am lucky in that I don’t feel I have truly felt the consequences of the problem. I mean, there were more guys than girls in my physics lectures at university, but in maths lectures I remember it being pretty even. When I worked as an analyst at an investment bank, I was one of very few girls on the scheme, but it’s not something I really thought about until someone outside of work asked how many fellow females there were. I’ve been to plenty of talks and events and competitions on STEM subjects over the years, but I guess looking around and taking note of the gender of the attendees was never really something I did – though I’m sure, looking back, I would have been in the minority.

It’s not that I don’t think the problem exists (there are plenty of stories, schemes and statistics that cannot be argued with), but I guess because STEM has always been my passion, I’ve not really known what it’s like to not be part of this incredible world, or thought deeply about what it’s taken to get me here.

I was a total tomboy at school. I got teased a lot for it – I went from a small primary school where we were naïve but anything was accepted, to a big high school where my love of competitive sport and quick calculations resulted in some imaginative nicknames – but for the most part I stuck to my guns, and with the support of an awesome set of parents, I continued feeding my ‘traditionally male’ academic passions.

But no wonder so many girls end up with a lacking passion of STEM.

So many times I could have fallen out of love with what was ‘me’ and conformed to ‘being a girl’ – I could have made those choices to be part of the ‘in crew’ as oppose to taking the harder ‘different’ path. I grew up playing football and rugby, so walking into a room dominated by men didn’t faze me, but what if I’d been put off at an earlier age? What if my mum had wanted a ‘good little girl’ instead of a ‘completely herself boisterous kid’?

It makes you realise how much bigger ‘women in STEM’ really is – it’s not just about getting companies closer to 50:50, it’s about changing attitudes towards what is expected of boys and girls, of all ages.

I wrote a post a few weeks ago about why science needs advertising (spoiler: because it’s just so bloody wonderful, I want more people to be as excited by it as I am) so my main hope for Ada Lovelace day is that it does all the wonderful stuff like showing girls the opportunities that lie in STEM, like championing women whose contributions have been diluted because of their gender, like encouraging women to pass on their knowledge to one another…but above all, I’d love for it to give all women a taste of that sensation of wonder, of new-found knowledge and of mind-opening realisation, so that no matter what anyone said, they’d just HAVE to satisfy their curiosity and get to be a part of the cracking world of STEM.

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Geek Girl Meetup: ‘The Magic of Machine Learning’

This week I went along to the popular London Geek Girl Meetup monthly breakfast which provided me with some delicious fruit, great company and an early morning dive into machine learning.

Geek Girl Meetup is a Swedish initiative, founded in 2008, which was set up to address the phenomenon of the short ladies’ toilet queue at tech conferences, through monthly events and an annual ‘unconference’. This breakfast meetup, ‘The Magic of Machine Learning’, was informal, inclusive and included 4 speakers – all speaking for only 5-10 minutes each – who merely scratched the surface of their subjects, but opened up my imagination and curiosity to the world of machine learning.

Machine learning is a branch of computer science which deals with the theory and application of computer systems that can learn from data, as oppose to human-engineered sets of rules. It’s truly incredible stuff which, with our understanding of the field increasing rapidly, is changing the way our technology performs. You know when Amazon recommends that book you’ve been thinking about buying, or how your email filters out that spam that you really didn’t want to read…that’s thanks to machine learning.

The meetup was hosted at the offices of Swiftkey, a London Start-up which has created a ‘mind reading’ keyboard app for Android (I really hope the iOS version is released soon, as I really love the idea of using a keyboard which can predict what I’m going to type based on my previous writing activity…)

Catalina Hellett – a language engineer at Swiftkey – opened the morning with an introduction to machine learning. For me, this was much needed as, despite knowing what machine learning is and being aware of its usage and predicted growth in today’s world, I didn’t have a clue when it came to the theory behind it all. Catalina broke everything down into a simple, though not dumbed-down, explanation including Hello Kitty references and digestible charts.

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We heard about 2 of the strands of machine learning (supervised and unsupervised – basically 2 different ways of setting up the learning in the first place), and the difficulties with classification (how do you explain sarcasm, for instance, to a machine? What are the rules you follow to classify speech as sarcastic…?) The intro was perfect in that it prompted further thought – it left questions unanswered which, for I’m sure a large number of the women attending, would have forced us to go find out more.

She was followed by Anna Alfut, UX Designer at Swiftkey, who put forward the strong case (through some beautiful slides!) that everything built needs to keep the user in mind. We went straight from the scientific theory to talking about an end product, reminding us that to make machine learning beneficial in a commercial sense, we must always go back to what purpose the product serves for the consumer.

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Chloe Hajnal-Cereb from EDITD gave us a quick-fire case study of how machine learning is employed in this fashion retail startup. It seems machine learning really does have the power to overhaul entire industries, which made it all the more valuable and intriguing to be focusing on the subject right now.

The final talk was from Mital Kinderkhedia of UCL, a machine learning research student embarking on her PHD. She spoke to us about a more complex level of machine learning called ‘Deep Learning’, which moves the topic closer to Artificial Intelligence. It uses a set of algorithms (as opposed to just one in particular, selected for the job at hand) to perform more complicated tasks such as recognising an image. At first I wondered how hard it could be for a computer to, for example, recognise a picture of a car, but what Mital explained is that the computer only sees pixels and colours and which coloured pixels are next to which other coloured pixels. A computer would have to be programmed on several layers – to recognise colour, to recognise a collection of coloured pixels forming a line, to recognise a line forming a circle, to recognise that a circle with lines inside is a wheel, to recognise that this particular type of wheel is a car wheel…the list goes on. I really do have a newfound respect for the face-recognition feature of my iPhone camera.

The breakfast ended with a room full of energised women (and a few men!) chatting machine learning, Artificial Intelligence, upcoming technology events, collaborative opportunities and the tasks for the day ahead (for a night owl like me, it already felt like lunch time…) It was an effortless morning full of inspiration and education – which was basically free as the £5 ticket paid for the food and coffee – so I will be looking out for the next Geek Girl Breakfast Meetup with much anticipation.

 

 

(I’ve also bought a ticket to their annual conference – this year it’s ‘Ubiquitous Technology’ – which you can find out more about here)