All of us – the general public, the media, university employees, students and professors – have ideas of what a scientist and a Nobel Prize winner look like. That image is predominantly male, white and older – which makes sense given 96% of the science Nobel Prize winners have been men.
This is an example of an implicit bias: one of the unconscious, involuntary, natural, unavoidable assumptions that all of us – men and women – form about the world. People make decisions based on subconscious assumptions, preferences and stereotypes – sometimes even when they are counter to their explicitly held beliefs.
Research shows that an implicit bias against women as experts and academic scientists is pervasive. It manifests itself by valuing, acknowledging and rewarding men's scholarship over women's scholarship.
Implicit bias can work against women's hiring, advancement and recognition of their work. For instance, women seeking academic jobs are more likely to be viewed and judged based on personal information and physical appearance. Letters of recommendation for women are more likely to raise doubts and use language that results in negative career outcomes.
Implicit bias can affect women's ability to publish research findings and gain recognition for that work. Men cite their own papers 56% more than women do. Known as the “Matilda Effect," there is a gender gap in recognition, award-winning and citations.
Women's research is less likely to be cited by others, and their ideas are more likely to be attributed to men. Women's solo-authored research takes twice as long to move through the review process. Women are underrepresented in journal editorships, as senior scholars and lead authors, and as peer reviewers. This marginalization in research gatekeeping positions works against the promotion of women's research.
When a woman becomes a world-class scientist, implicit bias works against the likelihood that she will be invited as a keynote or guest speaker to share her research findings, thus lowering both her visibility in the field and the likelihood that she will be nominated for awards. This gender imbalance is notable in how infrequently women experts are quoted in news stories on most topics.
Women scientists are afforded less of the respect and recognition that should come with their accomplishments. Research shows that when people talk about male scientists and experts, they're more likely to use their surnames and more likely to refer to women by their first names.
Why does this matter? Because experiments show that individuals referred to by their surnames are more likely to be viewed as famous and eminent. In fact, one study found that calling scientists by their last names led people to consider them 14% more deserving of a National Science Foundation career award.
Seeing men as prize winners has been the history of science, but it's not all bad news. Recent research finds that in the biomedical sciences, women are making significant gains in winning more awards, though on average these awards are typically less prestigious and have lower monetary value.
Addressing structural and implicit bias in STEM will hopefully prevent another half-century wait before the next woman is acknowledged with a Nobel Prize for her contribution to physics. I look forward to the day when a woman receiving the most prestigious award in science is newsworthy only for her science and not her gender.
This is an updated version of an article originally published on Oct. 5, 2018.
Mary K. Feeney, Professor and Lincoln Professor of Ethics in Public Affairs, Arizona State University
This article is republished from The Conversation under a Creative Commons license. Read the original article.