Taulbee Survey depicts female computer science bachelor's degrees to be ~12% in 2010-2011
Bachelor's earned by women relative to other STEM fields. (Note decline unique to CS)
Black computer science professors near 0.25%
25% of the "computing" workforce are women
9% of developers are women (informal survey)
41% of women leave tech companies after 10 years compared to 17% of men - 56% of women leave tech companies Of those that quit: only 49% transfer their skills with the other 51% abandoning the tech space
1.5% of Open Source developers are women
Girls are just as interested in math and science as boys.
Girls are just as capable of programming as boys.
- Gender and Programming Achievement in a CSCL Environment - Amy Bruckman, Carlos Jensen, Austina DeBonte - http://www.cc.gatech.edu/~asb/papers/conference/bruckman-jensen-debonte-cscl02.pdf
Women, in an educational setting, are not more interested in one programming language than another, nor, as this result implies, do they prefer "easier" or less technical programming domains.
- Gender and Programming Language Preferences of Computer Programming Students at the Moraine Valley Community College - Dawn Patitucci - http://digital.lib.odu.edu:8000/dspace/bitstream/123456789/326/1/patitucci_dawn.pdf
Gender bias toward hiring men over women.
Gender bias toward accepting work of men in higher regard to women.
- http://online.wsj.com/article/SB115274744775305134.html
- http://phylogenomics.blogspot.com/2012/11/a-scientific-study-of-gender-bias-in.html
- http://www.pnas.org/content/109/41/16474.abstract
Salary gap is 13-14% for developers who are women
Study: female handles 25x more likely to be harassed on IRC, hindering women from collaborating and learning. The study determined that the bots with female handles were harassed more the less they said in the channel, peaking at complete silence.
Stereotype Threat in Math - Spencer, Steele - 1999 - Study 1 - Took equally prepared groups of men and women and gave them a difficult exam (GRE Math) and an easy exam (GRE General Quantitative). This study was a control study to reproduce common, and studied expectation: women indeed did worse on the more difficult test. - Study 2 - To establish a cause for the difference, they repeated the study and primed the participants to gender biases. The test was randomly split into two parts: The group was told that men did better than women on one half, and then there was no difference in the second. Another group had the order of the ruse switched. All participants were primed that they were selected because they have strong mathematical skill. On parts that gender differences were explained to women, women underperformed significantly. When told there was no gender difference, women did equally as well as men. Therefore, women are pre-primed to underperform due to a belief that mathematics is biased toward men.
Stereotype Threat in Tech - Sapna Cheryan's study "The influence of stereotypical and non-stereotypical role models on women's interest in computer science" as a short talk
63% of women in tech have received sexual harrassment. Poor environment, isolation due to lack of other women, lack of identifiable mentors, and the rewarding of risky behavior.
Isolation and lack of mentors. (Harvard Business Review)
Unconscious biases and pay gap. (Informal conclusions from research study on illustrating high attrition)
Trans-friendly, inclusive argument for female-only spaces
A formal argument with citations by Dr. Cary Gabriel Costello that the probability of intersex is around 1 for every 250 people.
Hello. That Bythenumbers09.pdf link leads to a 404. Would you happen to know if it is available elsewhere, or if the resource has a title I can google for? Thanks.