Using data to address unconscious bias and boost representation
Understanding the lived experiences of young people today can help institutions tackle the unconscious biases that deter under-represented groups from entering higher education
SFS Media
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Unconscious bias is defined as unconscious favouritism towards 鈥 or prejudice against 鈥 a particular group of people, whether defined by their ethnicity, gender, or another characteristic that influences action or perception.
At a recent discussion held during 成人VR视频鈥檚 HashtagHigherEd UK event, and hosted by SFS Media, Cailean Carvalho, executive director of SFS Media, stated that, for him, unconscious bias has a much stronger connection to lived experience.
鈥淲e talk a lot about listening to young people, but there aren鈥檛 any young people at this event,鈥 Carvalho said. 鈥淎s marketers, we can鈥檛 possibly understand all the lived experiences of young people today. So, it鈥檚 important we have access to a robust set of data to help us view our unconscious biases.鈥
Gaining an understanding of these unconscious biases is important because they can lead to poor decision-making. 鈥淚f you don鈥檛 have the data, you could be making poor choices that are limiting your growth,鈥 Carvalho noted. 鈥淵ou may be excluding young people without realising it, which reduces social mobility. And Gen Z wants you to address this issue. According to our research, young people rate diversity as the number one value that they want to see from universities.鈥
Carvalho was also keen to point out that having bias does not mean an individual has any ill intent. 鈥淚t鈥檚 OK to have bias 鈥 the vast majority of us have it,鈥 he said. 鈥淲hat鈥檚 important is closing the gap between your perception and reality. Do you have regular, open conversations about inclusivity, do you include young voices, and do you measure campaign performance with individuals of different characteristics?鈥
After a decade of development and expenditure on widening participation, research involving thousands of responses from young people found that the traditional methods used to target prospective students aren鈥檛 working. In particular, universities still struggle to target Asian and black communities, with the numbers showing that non-inclusivity begins at open days.
鈥淟ooking at gender equality, we have verified millions of data points to show that communications disproportionately target males,鈥 Carvalho said. 鈥淕ender-biased language leads to a lack of inclusivity. And when it comes to your marketing, it鈥檚 simply more efficient to be more inclusive.鈥
When institutions take the time to engage with underrepresented communities, they are able to build strong connections. 鈥淸These groups] feel seen, they feel a resonance with your brand,鈥 Carvalho said.
鈥淚f you want to measure and address your unconscious bias, source the relevant data,鈥 Carvalho concluded. 鈥淏e aware that you鈥檙e unaware. Get data on your blind spots. Then take action, test, and learn from feedback. It鈥檚 OK to make mistakes. Widening participation is about more than boosting university intake numbers; it鈥檚 a moral concern. One that we are keen to support.鈥
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