How To Be More Creative. Shane Farritor Professor, Mechanical Engineering, UNL

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1 How To Be More Creative Shane Farritor Professor, Mechanical Engineering, UNL

2 Design Story Symphony not only function not only argument not only focus Empathy Play Meaning not only logic Not only seriousness Not only accumulation A Whole New Mind

3 It is impossible that you have no creative gift.

4 It is a gift. The only way to make it live and increase is to use it.

5 You cannot be sure that it is not a great gift.

6 Good + Different = Innovative

7 A genius Pablo Picasso Garcon a la Pipe, 1905, age 26 $104,100,000 Old Masters and Young Geniuses: The Two Life Cycles of Artistic Creativity by David W. Galenson

8 An Experimental Innovator Paul Cézanne Rideau, Cruchon et Compotier, 1894, age 55 $60,500,000 Old Masters and Young Geniuses: The Two Life Cycles of Artistic Creativity by David W. Galenson

10 We are educating people out of their creativity.

11 Parent height R=0.7 Outliers Malcom Gladwell child height Innovation is not intelligence. (R= ) Your abilities are not fixed. Innovation can be taught/learned.

12 Everything that is important about art I cannot teach you. - I don t remember Oct. 20: Nov. 1: Nov. 3: Nov. 15: Nov. 22: Little Bets Brainstorming and Other Thinkertoys Orbiting the Giant Hairball Where Good Ideas Come From What in the Heck Are You Talking about?

13 Tool #1: Little Bets

14 A Little Bet: Take Action to Discover What To Do Don t intentionally try to fail, but know that you will make important discoveries. Look for small wins.

15 Take a Little Bet

17 What is a little bet An action An allocation of resources A careful eye on outcomes Examples Walk across the room to talk to someone Build a prototype Take a prototype to customers Make 20 units and sell them at a loss

18 Little Bets Create Small Wins Think Pixar

19 Tool #2: Thinkertoys

20 A Whack on the Side of the Head (an exercise)

21 False Faces Thinkertoys False Faces Find ideas by reversing conventional assumptions Restaurant: Wait to be seated Sit down Server brings menus Server brings drinks Server asks for order Order Food Wait Server re-fills water Eat food Server asks about desert.pay bill, leave

22 Thinkertoys False Faces False Faces Find ideas by reversing conventional assumptions Restaurant: Wait to be seated Could we have a restaurant where you don t wait to sit down? Sit down Could we have a restaurant where you don t sit down? Server brings menus Could we have a restaurant where you don t have menus? Server asks for order Could we have a restaurant where there is no choice in food? Order Food Could we have a restaurant where there is no food?..pay bill, leave Could we have a restaurant where you don t pay for food?

23 The Lotus Blossom

25 Tool #3: Orbiting

26 Orbiting the Giant Hairball

27 Tool #4: Where good ideas come from.

28 Where Good Ideas Come From

29 10/10 rule The new 1/1 rule

30 The Reef, City, Web (mass scale)**(1/4)

31 The Adjacent Possible

32 Liquid Networks

33 Liquid Networks

34 The Slow Hunch

35 Serendipity Unexpected connections Hypertext Search 20% time

36 Error Truth is narrow.but error is endlessly diversified. -Benjamin Franklin Errors challenge assumptions Errors provide contrast

37 Exaptation

38 Platforms

39 The Fourth Quadrant

40 Tool #5: Communication

41 ERROR #1: It s all about me

42 ERROR #2: The Curse of Knowledge 2.5% vs. 50%

44 A Sticky Idea your brother was dead and is alive again; he was lost and is found. -Luke 15:32

46 Sticky Ideas Share Common Traits 1) Simplicity 2) Unexpectedness 3) Concreteness 4) Credibility 5) Emotions 6) Stories

47 Simple = Core + Clear Don t Bury the Lead If you say 3 things you say nothing Simple

48 Start with Why (Simon Sinek) How What Why

49 Books?...What are they every going to teach you?

50 Gifts

53 It takes effort.

54 Be an Innovator Make creativity a way of life. Allow yourself to be special.

55 Be an Innovator Give your gift. Be creative. Be generous.

56 What is it worth? Anything You Want by Derek Sivers IDEA X EXECUTION Bad idea -1 no execution $1 So-so idea 1 So-so execution $10,000 Good idea 10 Good execution $100,000 Great idea 15 Great execution $1,000,000 Out of the park idea 20 Out of the park execution $10,000,000 Multiply your idea and execution = value Crazy uncle Larry says I had the idea for Ebay way before.. 20 x $1 = $20 How about a so-so idea with great execution?

9 Knowledge-Based Systems

9 Knowledge-Based Systems Throughout this book, we have insisted that intelligent behavior in people is often conditioned by knowledge. A person will say a certain something about the movie 2001 because