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Boulder <3s Women in Tech. Boulder Startup Week: May 15, 2013 Jenny Slade, NCWIT @ncwit | @bldrstartupweek | #BSW13. Women Make Boulder Awesome. Why Women Matter to Technology. Women Correlate with Success.
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Boulder <3s Women in Tech Boulder Startup Week: May 15, 2013 Jenny Slade, NCWIT @ncwit | @bldrstartupweek | #BSW13
Women Correlate with Success Analysis of more than 20,000 venture-backed companies showed that successful startups have twice as many women in senior positions as unsuccessful companies. Dow Jones VentureSource, 2011.
Women Help Companies Grow Tech companies with women have been shown to use 40 percent less capital and be more likely to survive the transition from startup to established company. Cindy Padnos, Illuminate Ventures: "High Performance Entrepreneurs: Women in High-Tech," 2010.
Women Improve Innovation The presence of women in a group is more likely to increase the collective intelligence (problem-solving ability, creativity) of the group than the presence of individuals with higher intelligence. “Evidence for a Collective Intelligence Factor in the Performance of Human Groups,” Science October 2010, Woolley, Chabris, Pentland, Hashmi and Malone.
Women Enhance Teams Groups with greater diversity solve complex problems better and faster than homogenous groups. Scott Page, The difference: How the power of diversity creates better groups, firms, schools, and societies, Princeton University Press, 2009.
Women Are 50% of the Population. Why Handicap Your Hiring by 50%? "We simply cannot afford to alienate large chunks of the workforce. It is a widely understood truth that the single biggest challenge is attracting the right people … to literally handicap yourself by 50 percent is insanity.” - Dan Shapiro, Google
Women in Tech, By the Numbers • Percent of U.S. professional occupations held by women 57 • Percent of U.S. technology jobs held by women 26 • Percent of U.S. software developers who are women 20 • Percent of women executives at U.S. venture-backed startups 11 Department of Labor Bureau of Labor Statistics, Current Population Survey, 2012; Dow Jones VentureSource, 2012.
Why So Few Women in Tech? Pipeline Attraction Attrition
What Is Unconscious Bias? We all have shortcuts, “schemas” that help us make sense of the world. But our shortcuts sometimes make us misinterpret things. That’s unconscious bias.
Example: White male engineering students score lower when told in advance that Asians typically score higher on math tests Unconscious Bias = Stereotype Threat Source: Aronson, et al., 1999; Steele & Aronson, 1998
Unconscious Bias = Tokenism African Americans Xkcd.org with modification by Cohoon, 2012
Unconscious Bias = Micro-inequities • Slights: “You’re the receptionist, right?” • Exclusion: “Oops, I forgot to cc her on that email.” • Recognition: “No, I’m pretty sure it was Tom’s idea, not Jane’s, to use a link algorithm.” • Isolation: “Dude, let’s grab a beer!”
Unconscious Bias in Performance Appraisal Identical resumes. Gendered names. Reviewers (of both genders) strongly favor John in skills, hireability, and salary.
Unconscious Bias in Hiring • “Blind” orchestra auditions, with musicians behind a curtain, increased the number of female musicians hired by 25% to 46% percent. Goldin & Rouse (2000) The American Economic Review, 90(4), 715-741.
Case Study: How Etsy Grew Its Female Engineering Team by 500% Don’t just say you care about diversity Take action from the top Show why your company is a great place to work Invest in early talent Integrate your workspaces Put more than 1 woman on a team (don’t isolate them)
Invite diversity. Use diverse networks, not just your status quo networks, to recruit. Include a woman, and a pile sort, in your job interviews. Remove biased language from job descriptions. Audit your physical space for gender-neutral vibes. If you’re a man, be a male advocate. 5 Things You Can Do Today 1 2 3 4 5
2) Include a Woman, and a Pile Sort, in Job Interviews Pile sort: www.ncwit.org/interviewstrategies
3) Remove Biased Language from Job Descriptions CONFIDENT OBJECTIVE DECISIVE ANALYTICAL AUTONOMOUS DOMINANT “Startups and Job Advertisements,” Aaron Kay, PhD: http://ww2.ncwit.org/pdf/A.Kay_JobPostings_EAmtg12.pdf; http://vimeo.com/46501265
4) Audit Your Physical Space for Gendered Vibes (Cheryan, S., Plaut, V., Davies, P., & Steele, C. (2009). Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology, 97(6), 1045-1060; http://www.ncwit.org/physicalspaceuw
NCWIT is the National Center for Women & Information Technology We Can Help. Our coalition includes more than 250 universities, corporations, and non-profits.
Panel • Ingrid Alongi: Co-founder and CEO, Quick Left • Jim Franklin: CEO, SendGrid • Greg Greenstreet: VP of Engineering, Gnip • Leslie Osborne: VP of Product + Operations, Standing Cloud • Krista Marks: Engineer, Founder of Nimbee, Kerpoof