Thread by @Psychonomic_Soc

@VirginiaValian (of @Hunter_College; author of “Why so Slow?”) presents the keynote at @WomenInCogSci entitled “Still too Slow: The Advancement of Women.”

#psynom20

@VirginiaValian @Hunter_College @WomenInCogSci @VirginiaValian presents results by Cooley et al. (2018): Women are perceived as more “feminine” when they smile than when they don’t smile. Even more true for Black women compared to white women.
@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci @VirginiaValian on intersectionality and universal gender effects:
Across the world, women are underrepresented in science and engineering, but this is particularly true for Black and Latinx women.
@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci Women are underrepresented relative to men as colloquium speakers, and this is not because women decline talk invitations at greater rates than men.

Having women as colloquium chairs increases the likelihood of having women speakers.

pnas.org/content/115/1/…
#psynom20

@VirginiaValian @Hunter_College @WomenInCogSci @VirginiaValian: Women and men have the same gender schemas (e.g., generally believe men are agentic, instrumental, task-oriented whereas women are nurturant, communal, expressive), but see image for racial/ethnic differences in schemas.

@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci @VirginiaValian: A tiny amount of bias, repeatedly encountered, will turn into a mountain of disadvantage.

Mountains ARE molehills, piled one on top of another.

@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci What can we as individuals do about gender bias?

No one can do everything, but everyone can do something!

@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci @VirginiaValian:

Educate yourself, be alert to our own biases

Start by reading this book: mitpress.mit.edu/books/inclusiv…

@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci @VirginiaValian:

Use solid data (not just anecdotes)

Organize! Work with others for change

Promote civility

Challenge constructively

Stop having all men (and all white) panels

@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci @VirginiaValian:

What can institutions do?

Change policies and procedures to maximize fairness and each person’s potential

E.g., when hiring, have at least 1 person read each person’s materials (names blinded) before eliminating candidates

@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci @VirginiaValian warns us about the dangers of moral licensing.

Don’t fool yourself by justifying bad behavior with other good behavior.

Developing a diversity committee at your institution is not a license to discriminate later on.

@WomenInCogSci #psynom20

@VirginiaValian @Hunter_College @WomenInCogSci Thank you for an informative, data-driven talk by @VirginiaValian with both big and small suggestions for how to address gender bias!

virginiavalian.org womenincogsci.org

Thread by Twitternome @meta_michelle

@WomenInCogSci #psynom20