My talk was titled "Connecting science and the arts for successful careers" - sharing my nonlinear, multi-modal career path as well as socio-historical perspective on tech and job disruption and a description of several future jobs.

1. Christopher Bishop
chief reinvention officer, improvising careers
Texas STEAM Summit – January 13, 2017
Connecting science and the
arts for successful careers
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2. • Why me?
• Socio-cultural perspective
• Real world context
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Where are we in the arc of history?

14. “I refuse to issue a patent for fear it will
put my poor subjects out of work.”
Queen Elizabeth I
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1589
regarding a
mechanized knitting
machine

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Historical context…
Innovation
The Industrial
Revolution
Age of Steam
and Railways
Age of Steel, Electricity
Age of Oil, Automobiles
and Mass Production
Age of Information and
Telecommunications
Deployment
Heavy
engineering
Model T
Internet/World
Wide Web Every aspect of life
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Source: “Technological Revolutions and Financial Capital”, Carlota Perez, 2002
Steam
locomotive
1829
1875
1908
1971
Mechanical
looms
Textile
manufacturing
Transporting
people & goods
Infrastructure-
buildings, bridges,
Travel ecosystem
1771

16. •Social network manager
•Cloud software engineer
•Sustainable energy technician
•3D printer operator
•Data scientist
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Changes driven by technology…
will create new careers in every discipline!

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Nanopharmacist

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Robotic ethicist

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Mobility strategist

21. Extraterrestrial mining engineer
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22. Mixed reality
content
consultant
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23. 15%
85%
Current Jobs
Non-existent
Jobs
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…using technology that doesn’t exist …

25. To solve problems we do not
yet know are problems.25

26. Workers not rewarded for carrying out orders,
but for figuring out what needs to be done
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27. U.S. Department of
Labor predicts that
todays’ learners will
have ?? jobs…
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28. U.S. Department of
Labor predicts that
todays’ learners will
have 8-10 jobs…
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29. U.S. Department of
Labor predicts that
todays’ learners will
have 8-10 jobs…and
by age 38!
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32. • Gild - data science to discover talent
• Found on GitHub - code downloaded >1,200 times
• Demonstrated several programming languages
• Blogs/tweets - confident, opinionated person
Big data as recruiter: Jade Dominguez
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35. G.P.A. + test scores worthless – they don’t predict anything
1. General cognitive ability
• process on the fly
• learn things to solve problems
• pull together disparate bits of information
2. Emergent leadership
• step in at the appropriate time
• step back and let someone else lead
3. Humility - without it you are unable to learn
4. Ownership - fundamental attribution errors
• if it works, it’s because I am a genius
• if it fails, it’s because someone’s an idiot
5. Expertise - least important attribute
What looks for…
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36. “The world only cares about - and pays off on - what
you can do with what you know…and it doesn’t care
how you learned it. This will be true no matter where
you go to work.”
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Laszlo Bock,
SVP, People Operations at Google

37. “The future doesn’t care how you
became an expert.”
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David Blake
CEO

38. •Talk to thought leaders and practitioners
•Share ideas, inspire each other
•Learn from best practices
•Focus on making STEAM real at your school!
Call to action
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39. chris@improvisingcareers.com
@chrisbishop
http://www.improvisingcareers.com
THANKS!
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Let’s keep in touch…