Intersectionality focuses on different elements of a person's identity and how this can be discriminated against, which has negative outcomes for everybody. It focuses on interactions between characteristics such as the colour of skin, gender, disability, the weight of history, and so on. People are not one-dimensional and these can all interact to produce inequality. Until we discuss these issues, we cannot do anything positive to combat them. All these ways to be disadvantaged can interact with each other to produce even greater inequality in terms of pay, learning opportunities, mentoring opportunities, promotion and other things that data professionals care about.

This is an important topic for preparing new leaders in the workplace and it is crucial for people's careers. Having a single focus on one area is an easy option but it can create inequalities for someone else and that is not fair. So, for example, 'women in tech' often neglects the experience of women of colour and it becomes exclusive rather than inclusive, creating inequality for someone else. These are not easy topics and I am learning every day too but we cannot look at people on just one 'axis'. We cannot just tell people that we are going to prioritise some people because we are more comfortable with one aspect of them than another - we cannot expect people to 'wait their turn' to come to the dinner table. Everyone should be invited.

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