Clara Raubertas // Freelance Web Design, Web Development, and Web Consulting // Cambridge and Boston, Massachusetts clara raubertas design. development. consulting.

After years of making social networking sites for other people, I’ve finally launched one of my own! Stemming.org is a networking/community site and collaborative blog for girls and women interested in the STEM fields (science, technology, engineering, and mathematics). I’m super excited about this — I think it has a lot of potential to support and connect women and girls who are often minorities in their fields or discouraged in their interests.

So far, I’ve done all the design and development (in Rails) for the site — it’s been cool to be my own client and get a chance to explore some technical things I might not otherwise have learned. (And being my own client gives me added appreciation for my clients’ perspective when we’re working on other projects like this!)

Stemming welcomes blog posts from anyone who has something to say that would be of interest to women and girls in STEM; I’d also love for people to share the link and send me their suggestions/improvements!

For the past several weeks, I’ve been working on a particularly exciting new project: launching Parallactic Consulting — a new web design and development company in Boston and Chicago!

I teamed up with some friends and fellow U of C alums to form Parallactic; it’s awesome to get to work with this much combined talent and experience (as you can see). With both more personpower and a greater variety of skills and experience, we should be able to take on much larger projects than any of us can do as individuals. I’m pretty excited about what’s in store for this!

I’m still accepting small/mid-size projects as an individual, but for larger projects, I’m steering people toward Parallactic - spread the word!

I got into a discussion on Trogger this morning about the question of men far outnumbering women in computer science (in my experience, this is very true — in my college CS classes of 20-25 people I would usually be one of 2 women, and of the 20 or so people my year who actually graduated with CS degrees, I was the only woman); why is this, and what can be done about it?

I think a lot of this has to do with unconscious bias and role models. As Cassie pointed out in her original post, a big factor is probably stereotype threat — the finding that members of particular groups stereotyped at being bad at certain subjects actually do worse in tests of those subjects if they are told the tests show a gender/race disparity, or even just asked to list their race or gender, than if they take the tests without race or gender brought up. Research like the Implicit Association Test suggests that most people, even female scientists and mathematicians themselves, unconsciously find it easier to associate math and science with men than with women.

Implicit biases in a person aren’t evidence that the person is actively discriminatory — they’re subconscious ideas that we get from the racist, patriarchal society all of us are raised in. No matter how consciously convinced you are that women make great scientists and technologists, you probably also have the subconscious implicit biases that suggest otherwise. So it’s not so much a question of women thinking, “Hey, I probably won’t be good at programming because I’m a woman!”, as thinking, “Oh, I just don’t see myself as a programmer”, without realizing that this idea might come from subconsciously ingrained biases about what a programmer is like (male).

But these biases can be fought! Research associated with the IAT has shown that people show less evidence of implicit biases when holding counter-stereotypes in their minds; for example, you’re more likely to associate women with science if you read about Rosalind Franklin or Marie Curie right before taking the test. This is what Ada Lovelace Day is all about — promoting the women who are already successful in scientific and technical fields is a win for everybody. The more visible women in science and technology are, the less prevalent these implicit biases will be in the future, and the more girls and young women will be motivated to enter these fields.