DS2C said:
Could someone give me an example of how women are mistreated, discriminated against, or treated unfairly in the STEM field?
I know you're not looking for anecdotes, but let me share two with you anyway.
A computer science professor told our class about how she was refused entry to a conference (probably in the late 70s or early 80s) because she was a woman. She was told women don't work with computers, and she'd only be allowed in if her husband, the real computer scientist, accompanied her. (Never mind that the conference registration was in her name.)
A bunch of my engineering classmates took a course on "Communication in the Professional World." It was taught by this one professor, who, it was rumored, automatically gave an A to every woman in his class. Anyway, a few years after we had graduated, I had a chance to talk with one of my female coworkers who took his class. She despised him. He gave the class the task of giving five-minute impromptu talks on topics the professor chose. For all of the guys, he chose technical topics. Her topic: What does she look for in a man?
I'm not arguing against it. I just didn't know this was a thing, and I'm trying to find facts. I tried a google search but all I could find was statistics of men in the field vs women. Trying to find something definitive and non-anecdotal showing that women are treated unfairly.
I doubt you can easily find clearcut evidence of discrimination because it's not typically overt. It's the result of unconscious biases we all have, and it's difficult to identify bias at work.
One related study that comes to mind had to do with hiring for orchestras. Orchestras were predominately male, yet both the men and women didn't think there was any discrimination against women. However, when blind auditions were instituted, the number of women hired went up significantly.
http://gap.hks.harvard.edu/orchestrating-impartiality-impact-“blind”-auditions-female-musicians
I seem to recall hearing about studies regarding hiring in general which found similar effects. A list of qualifications, for example, would be perceived differently if it was attached to names revealing the candidate's gender or ethnicity. It's not that the people doing the hiring were sexist or racist, but unconscious biases affected how they judged an individual.