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Diversity We’re not done yet.

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One obstacle to adulthood needs to be solved immediately: We must learn not just to accept differences between ourselves and our ideas, but to enthusiastically welcome and enjoy them. Diversity contains as many treasures as those waiting for us on other worlds. We will find it impossible to fear diversity and to enter into the future at the same time. – Gene Roddenberry

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whoami @roguelynn | roguelynn.com Backend Engineer Vice Chair, PSF SF PyLadies

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why it’s a problem

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There’s little correlation between a group’s collective intelligence and the IQs of its individual members. But if a group includes more women, its collective intelligence rises. – Harvard Business Review

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…creativity depends on our life experiences. Without diversity, the life experiences we bring to an engineering problem are limited. As a consequence, we may not find the best engineering solution. – National Academy of Engineering

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…when groups of intelligent individuals are working to solve hard problems, the diversity of the problem solvers matters more than their individual ability. Thus, diversity is not distinct from enhancing overall quality— it is integral to achieving it. – Scientific American

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…chronic and woeful underrepresentation in the workforce leads to “the inescapable conclusion that we are missing critical contributors to our talent pool.” It is hard to grow a workforce —let alone get the “best” workforce— when there’s broad underrepresentation of up to 75 percent of the potential talent pool. – Scientific American

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After 10 years of work experience, 41% of women in tech leave the industry, compared with 17% of men. But they are not more likely to leave that the women in other industries because of having families. – Harvard Business Review

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Google Apple Yahoo Twitter Facebook LinkedIn 1% 17% 15% 10% 15% 20% 18% 83% 85% 90% 84% 80% 82% Men Women Other/Not Disc Gender diversity within tech fields

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what we’re doing right

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What we’re doing right ‣ Python Software Foundation

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What we’re doing right ‣ Python Software Foundation ‣ Conferences

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What we’re doing right ‣ Python Software Foundation ‣ Conferences ‣ BDFL

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What we’re doing right ‣ Python Software Foundation ‣ Conferences ‣ BDFL ‣ PyLadies

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PyLadies

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0 175 350 525 700 8-11 10-11 12-11 2-12 4-12 6-12 8-12 10-12 12-12 2-13 4-13 6-13 8-13 10-13 12-13 2-14 4-14 6-14 8-14 10-14 12-14 2-15 4-15 6-15 New PyLadies # joins per month

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0 175 350 525 700 8-11 10-11 12-11 2-12 4-12 6-12 8-12 10-12 12-12 2-13 4-13 6-13 8-13 10-13 12-13 2-14 4-14 6-14 8-14 10-14 12-14 2-15 4-15 6-15 New PyLadies # joins per month

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0 175 350 525 700 8-11 10-11 12-11 2-12 4-12 6-12 8-12 10-12 12-12 2-13 4-13 6-13 8-13 10-13 12-13 2-14 4-14 6-14 8-14 10-14 12-14 2-15 4-15 6-15 PyCon 2012 PyCon 2013 PyCon 2014 PyCon 2015 New PyLadies # joins per month

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0 175 350 525 700 8-11 10-11 12-11 2-12 4-12 6-12 8-12 10-12 12-12 2-13 4-13 6-13 8-13 10-13 12-13 2-14 4-14 6-14 8-14 10-14 12-14 2-15 4-15 6-15 New PyLadies # joins per month SF LA, DC ATL, NYC PDX, San Diego SEA ATX STLM, Montreal Boston, Berlin London Toronto Chicago Taiwan

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The Effect of PyLadies

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0% 10% 20% 30% 40% 2011 2012 2013 2014 2015 Women Speakers @ PyCon

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New York

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0 125 250 375 500 June 2006 N ovem ber 2006 A pril 2007 Septem ber 2007 February 2008 July 2008 D ecem ber 2008 M ay 2009 O ctober 2009 M arch 2010 August 2010 January 2011 June 2011 N ovem ber 2011 A pril 2012 Septem ber 2012 February 2013 July 2013 D ecem ber 2013 M ay 2014 O ctober 2014 M arch 2015 New York Python Django NYC New Members # joins per month

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0 125 250 375 500 June 2006 N ovem ber 2006 A pril 2007 Septem ber 2007 February 2008 July 2008 D ecem ber 2008 M ay 2009 O ctober 2009 M arch 2010 August 2010 January 2011 June 2011 N ovem ber 2011 A pril 2012 Septem ber 2012 February 2013 July 2013 D ecem ber 2013 M ay 2014 O ctober 2014 M arch 2015 New York Python Django NYC New Members # joins per month PyLadies NYC

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0 125 250 375 500 June 2006 N ovem ber 2006 A pril 2007 Septem ber 2007 February 2008 July 2008 D ecem ber 2008 M ay 2009 O ctober 2009 M arch 2010 August 2010 January 2011 June 2011 N ovem ber 2011 A pril 2012 Septem ber 2012 February 2013 July 2013 D ecem ber 2013 M ay 2014 O ctober 2014 M arch 2015 New York Python Django NYC New Members # joins per month PyLadies NYC

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Boston

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0 75 150 225 300 A pril 2007 August 2007 D ecem ber 2007 A pril 2008 August 2008 D ecem ber 2008 A pril 2009 August 2009 D ecem ber 2009 A pril 2010 August 2010 D ecem ber 2010 A pril 2011 August 2011 D ecem ber 2011 A pril 2012 August 2012 D ecem ber 2012 A pril 2013 August 2013 D ecem ber 2013 A pril 2014 August 2014 D ecem ber 2014 A pril 2015 Django PUG New Members # joins per month

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0 75 150 225 300 A pril 2007 August 2007 D ecem ber 2007 A pril 2008 August 2008 D ecem ber 2008 A pril 2009 August 2009 D ecem ber 2009 A pril 2010 August 2010 D ecem ber 2010 A pril 2011 August 2011 D ecem ber 2011 A pril 2012 August 2012 D ecem ber 2012 A pril 2013 August 2013 D ecem ber 2013 A pril 2014 August 2014 D ecem ber 2014 A pril 2015 Django PUG New Members # joins per month PyLadies Boston

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0 75 150 225 300 A pril 2007 August 2007 D ecem ber 2007 A pril 2008 August 2008 D ecem ber 2008 A pril 2009 August 2009 D ecem ber 2009 A pril 2010 August 2010 D ecem ber 2010 A pril 2011 August 2011 D ecem ber 2011 A pril 2012 August 2012 D ecem ber 2012 A pril 2013 August 2013 D ecem ber 2013 A pril 2014 August 2014 D ecem ber 2014 A pril 2015 Django PUG New Members # joins per month PyLadies Boston Women-only workshops

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San Francisco

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0 125 250 375 500 June 2008 O ctober 2008 February 2009 June 2009 O ctober 2009 February 2010 June 2010 O ctober 2010 February 2011 June 2011 O ctober 2011 February 2012 June 2012 O ctober 2012 February 2013 June 2013 O ctober 2013 February 2014 June 2014 O ctober 2014 February 2015 June 2015 SF Python SF Django SV Python SF Python Pub Night New Members # joins per month

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0 125 250 375 500 June 2008 O ctober 2008 February 2009 June 2009 O ctober 2009 February 2010 June 2010 O ctober 2010 February 2011 June 2011 O ctober 2011 February 2012 June 2012 O ctober 2012 February 2013 June 2013 O ctober 2013 February 2014 June 2014 O ctober 2014 February 2015 June 2015 SF Python SF Django SV Python SF Python Pub Night New Members # joins per month PyLadies SF

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0 125 250 375 500 June 2008 O ctober 2008 February 2009 June 2009 O ctober 2009 February 2010 June 2010 O ctober 2010 February 2011 June 2011 O ctober 2011 February 2012 June 2012 O ctober 2012 February 2013 June 2013 O ctober 2013 February 2014 June 2014 O ctober 2014 February 2015 June 2015 SF Python SF Django SV Python SF Python Pub Night New Members # joins per month PyLadies SF

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0 75 150 225 300 June 2008 O ctober 2008 February 2009 June 2009 O ctober 2009 February 2010 June 2010 O ctober 2010 February 2011 June 2011 O ctober 2011 February 2012 June 2012 O ctober 2012 February 2013 June 2013 O ctober 2013 February 2014 June 2014 O ctober 2014 February 2015 June 2015 SF Python SF Django SF Python Pub Night SV Python New Members # joins per month

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0 75 150 225 300 June 2008 O ctober 2008 February 2009 June 2009 O ctober 2009 February 2010 June 2010 O ctober 2010 February 2011 June 2011 O ctober 2011 February 2012 June 2012 O ctober 2012 February 2013 June 2013 O ctober 2013 February 2014 June 2014 O ctober 2014 February 2015 June 2015 SF Python SF Django SF Python Pub Night SV Python New Members # joins per month PyLadies SF

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0 75 150 225 300 June 2008 O ctober 2008 February 2009 June 2009 O ctober 2009 February 2010 June 2010 O ctober 2010 February 2011 June 2011 O ctober 2011 February 2012 June 2012 O ctober 2012 February 2013 June 2013 O ctober 2013 February 2014 June 2014 O ctober 2014 February 2015 June 2015 SF Python SF Django SF Python Pub Night SV Python New Members # joins per month PyLadies SF

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what we’re missing

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What I hear…

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what’s said: Gender equality – that’s not a problem here! Those things don’t matter! translation: That is not a problem to me.

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what’s said: We focus on quality, not gender! translation: Quality apparently means software written by men.

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what’s said: Women aren’t interested in this. translation: It’s their own fault.

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what’s said: We couldn’t find any women. translation: I didn’t want to put much effort in.

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what’s said: Quotas are bad! That’s reverse discrimination. translation: I want to recruit my (male) friends so I can get my referral bonus.

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what’s said: We were in a hurry. translation: We don’t care enough to put thought into our process.

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what’s said: thinly-veiled bullshit. translation: bullshit.

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“the bad guy” fallacy

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action plan

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let me google that for you

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let me google that for you rogue.ly/lmgtfy Once in a lifetime event!! Act fast!

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micro actions

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s/female/women/g

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s/female/women/g • Mean different things • Dehumanizing & exclusionary • Can imply inferiority

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s/female/women/g

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assume knowledge

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women-first design

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reach out

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the difficult shit

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comfort in the uncomfortable

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say what you think

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Yet Another Star Trek Quote

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…humanity will reach maturity and wisdom on the day that it begins not just to tolerate, but take a special delight in differences in ideas and differences in life forms.

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…the worst possible thing that can happen to all of us is for the future to somehow press us into a common mould, where we begin to act and talk and look and think alike.

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If we cannot learn to actually enjoy those small differences, to take a positive delight in those small differences between our own kind here on this planet, then we do not deserve to go out into space and meet the diversity that is almost certainly out there. – Gene Roddenberry, The Star Trek Philosophy

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Thanks! rogue.ly/wndy