I’m blogging from the American Astronomical Society meeting in Austin, TX! Today I attended a great series of talks all falling under the umbrella of increasing diversity in astronomy (particularly in universities). One talk, given by Caroline Simpson, addressed the issue of unconscious bias in hiring. She cited a lot of really interesting research, which I’ll blog about later, but first I’d like to give an introduction to unconscious bias.
First things first: I need to introduce the concept of a schema. A schema is basically a structure we use to help ourselves organize knowledge. In this context, it can be thought of as a broad assumption (or group of assumptions) about a group of people. An example of something that used to be more of a schema than it is today is that mothers do not work. A schema that still exists is that scientists are male.
Schemas can be mismatched. A female scientist with children is an example of a mismatching schemas – it is in conflict with with the schema that scientists are male, and also with the (slightly outdated) schema that mothers don’t work.
Unconscious bias occurs when schemas are mismatched. In hiring, unconscious bias can occur when a candidate’s schema does not match the schema of the outcome. If a woman is interviewing for a research scientist position, her schema does not match that of the hired research scientist (who would typically be male). The person in the position to hire may form invalid opinions about the candidate based on their schema, which may result in a negative hiring decision.
Unconscious bias sounds really similar to overt discrimination (forming untrue, negative opinions about others based on their sex/gender/race/etc). But it differs from overt discrimination in that a person may not even be aware that they are biased against a certain group (or groups). Unconscious bias is very subtle, which is why it is so important to be aware of it. Making others aware that unconscious bias exists is the first step towards eliminating it!



