How to be taken seriously as a woman in IT

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October

2021

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That was the main concept of an article I read from Gartner (2020) today, and I found it quite shocking to be honest that such a ‘recognised institute’ would write this. It’s isn’t phrased that way, but reading the article ‘What Makes Woman in Technology Great CIOs’ felt more like reading the first questionable ‘how-to’ guide you find when googling a question. It is written between the lines, for example the first question stated in this article is: “How can more female leaders rise to the top?”.

The article suggests that becoming a CIO nowadays requires more ‘feminine-perceived’ traits than before and that therefore females should be at advantage. I am not implying that they say that woman can’t do ‘masculine’ tasks well (or the other way around), but I personally don’t think determining a skill as masculine or feminine is useful or necessary. Gartner questions why only 11% of CIOs are woman, when the ‘feminine’ traits are much needed in this position.

Own experience

As a woman in IT myself, this number doesn’t shock me. I know that in regards to this subject, I am part of a minority. In my previous study, internships and my side jobs in IT, I found out that you have to take your place as a woman in IT. I was one of the five woman studying Business IT and management in my graduation year (+200 students) and I am often the only woman in my team doing an ‘IT job’. To be honest, I don’t care about that. I just want to work with passionate IT-ers who value my work. I am fortunate enough that I never experienced my direct colleagues or professors questioning my skills because of my gender. However, I did notice that I sometimes had to prove myself first, and realised that in some companies the ‘higher ups’ did question my technical skills. I also always have to be included in team-pictures so that the company can show off their diversity and don’t follow ‘the stereotype of IT-ers’ (which I don’t agree with by the way, but that is another subject).

How to be a woman at the IT-top

So far, this hasn’t really been a problem since I am still in college and not actively trying to build a career with a higher position. However, according to this article, if I want to climb up the ladder I would have to do the following things to succeed:

  1. Resist the tendency to prove your technical skills, since as a manager you should be more a business visionary and a role model.
  2. Build trust by being tough but still empathic.
  3. Gain support from a male colleague, so they wont question your judgement when hiring a someone from a minority.
  4. Guide behavioural change at the top and remind them of what your job is and why you’re ‘questioning’ the current day-to-day activities.
  5. Pick your battles: “Support and encourage male C-suite peers to build on the first step they’ve taken by hiring you”.

This list set me thinking. So why do woman have to do these things to be taken seriously? Why isn’t this a list for managers in general? And why would I need male colleagues as a support base? Didn’t we learn in class that diversity enables critical thinking and more diverse idea generation? I do think Gartner wrote this article with the right intentions and didn’t anticipate on triggering these questions of readers. But I find this remarkable statements, that just ‘accept’ that IT-woman aren’t taken seriously when being themselves, instead of providing suggestions how to find a workplace that does value you and your skills.

I definitely don’t want to be hired because I am a woman in IT. I want to be hired because I am good at what I do. And I want to be taken seriously for it, without having to look for male peers to back me up. I know that in certain jobs (for example kindergarten teachers), this is the other way around, which is just as unethical. Please let me know what your experiences are (male or female, other majorities or minorities and everything in between). I’d like to hear what you think in the comment section.

References

Gartner. (2020, October 5). What Makes Woman in Technology Great CIOs. Retrieved October 8, 2021, from Gartner: https://www.gartner.com/smarterwithgartner/what-makes-women-in-technology-great-cios

Hawlina, H., Gillespie, A., & Zittoun, T. (2017). Difficult differences: a socio-cultural analysis of how diversity can enable and inhibit creativity. Journal of Creative Behaviour. doi:10.1002/jocb.182

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Sentiment analysis: How a computer knows what you’re feeling

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October

2021

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One of the most distinguished features of humanity, is being able to read someone else’s mood. People estimate other peoples mood and emotional state based on their verbal and non-verbal communication. Humans learn this skill from a very early age on and are able to distinguish the signs even for different people. For example, we all know when our best friend is feeling down, even when they’re trying to hide it for others. Maybe by being louder than usual, or they might be more quiet. But you know that they are troubled. Being able to distinguish this for different people is due to experience and how close you are to the other person. The years of friendship make it easier to read her mood and know when something is wrong.

Sentiment analysis

But what if I tell you a computer can also do this? And they don’t have to ‘be your friend’ for years and years. Using various techniques such as Natural Language Processing (NLP), the computer is able to recognise words and sentences as emotions. Words like ‘stress’ and ‘feeling alone’ are registered as negative, whilst ‘glad’ and ‘exited’ as marked as positive. This is called a sentiment analysis. Some sentiment analysis even link certain combinations of words to feelings, such as depressed, sad, cheerful or hopeful.

Possibilities

But what are the possible use cases of the sentiment analysis? And what are the challenges? Sentiment analysis is for example already being used in healthcare. Based on the unstructured notes a psychologist takes during sessions with their client, the sentiment analysis can track the clients mood over time. In this case, it includes possible diagnoses and ‘trigger words’ such as suicidal. This allows the psychologist to have one overview of the client’s emotional and mental state over time.

But what if this is taken one step further. What if this is done based on social media. Think about it: Your stories, chat messages, posts, web usage, emoticon usage, everything is documented and examined on your emotional state.

Challenges

One of the most important questions that arises from this, is regarding to privacy. Who is allowed when to measure your mental state based on your social media usage and your google searches? This is very sensitive (health)data, not stated by a doctor, but estimated by a computer. Another challenge is interpreting the words correctly, for example: ‘good’ is a positive word but ‘really not good’ is a negative combination of words. The complexity of languages can make it hard for a computer to interpret it correctly. However, Artificial Intelligence (AI) is often used for this so that the estimations become more accurate with each analysis.

Sources

Abualigah, L., Alfar, H., Shehab, M., & Hussein, A. (2019). Sentiment Analysis in Healthcare: A brief Review. In M. Abd Elaziz, M. Al-quaness, A. Ewees, & A. Dahou, Recent Advances in NLP: The Case of Arabic Language (pp. 129-141). Switzerland: Springer, Cham. doi:10.1007/978-3-030-34614-0_7

Denecke, K., & Deng, Y. (2015, March 25). Sentiment analysis in medical settings: New opportunities and challenges. Artificial Intelligence in Medicine, pp. 17-27. doi:10.1016/j.artmed.2015.03.006

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