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ICOTS 2018
The document discusses cultivating creativity in data work. It argues that data science includes elements of science, art, and design. Design research methods can be leveraged to teach students the process of data science. The "art" of data science involves the skilled use of empathy, which can be developed through practices like design thinking, meditation, and design sprints. Teaching data science could borrow from design school curricula by emphasizing hands-on learning of tools and using non-judgmental, solution-focused processes.
ICOTS 2018
- 1. CULTIVATING CREATIVITY IN DATAWORK HILARY PARKER
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- 6. You’ve told meeverything NOT to do, but how will I know what to do? Anonymous Roger Peng student
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- 9. “Data Science isan art”
- 10. https://leanpub.com/artofdatascience “Data analysis ishard, and part of the problem is that few people can explain how to do it. It’s not that there aren’t any people doing data analysis on a regular basis. It’s that the people who are really good at it have yet to enlighten us about the thought process that goes on in their heads.”
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- 14. “The demand forthis “right” brain thinking is increasing and in era of increased automation, the need for the “art” of data science will be the increasing cry of business.”
- 15. If data scienceis an art, why don’t we teach it like art?
- 19. MUSIC THEORY :: INSTRUMENT:: COMPOSITION :: THEORY PROGRAMMING LANGUAGE NARRATIVE
- 20. My experience ofthe field
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- 24. We may findthat the two bottlenecks are what you want to do, and how you tell the computer to do that. A lot of my existing work…has been more about how to make it easier to express what you want. Hadley Wickham https://statr.me/2013/09/a-conversation-with-hadley-wickham/
- 25. Teach students toolsthat allow for fluency
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- 29. My experience intech
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- 37. Design sprints fordata science
- 38. Design as aDiscipline
- 39. Design ability is,in fact, one of the three fundamental dimensions of human intelligence. Design, science, and art form an ‘and’ not an ‘or’ relationship to create the incredible human cognitive ability.” Nigel Cross
- 40. Design ability isoften treated as “mythical” and a “mysterious talent”
- 41. https://leanpub.com/artofdatascience “Data analysis ishard, and part of the problem is that few people can explain how to do it. It’s not that there aren’t any people doing data analysis on a regular basis. It’s that the people who are really good at it have yet to enlighten us about the thought process that goes on in their heads.”
- 42. Design process is solution-focused,versus problem-focused
- 43. You’ve told meeverything NOT to do, but how will I know what to do? Anonymous Roger Peng student
- 44. Design is constructivethinking -- you need to start building solutions to understand the problem fully
- 46. Design process employsboth the left-brain and the right-brain.
- 47. “The demand forthis “right” brain thinking is increasing and in era of increased automation, the need for the “art” of data science will be the increasing cry of business.”
- 48. Though the fielddid have a “scientific design” movement in the 60s, it has mostly moved on from cookbook methods
- 49. Gosset to Pearsonin 1905 From “Guinnessometrics: The Economic Foundation of “Student’s” t” by Stephen T. Ziliak
- 50. Design is aform of non-verbal rhetoric, with sketching as the language
- 51. One thing thatis clear is that sketches enable designers to handle different levels of abstraction simultaneously… Clearly this is something important in the design process. We see that designers think about the overall concept and at the same time think about detailed aspects of the implementation of that concept. Nigel Cross
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- 54. Teach design asa fundamental process that is independent of theory Borrow on design school curricula Employ design methods such as design sprints
- 55. The Role ofArt?
- 56. What is successin Data Science / Analysis?
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- 58. A data analysisis successful if the audience to which it is presented accepts the results. Roger Peng https://simplystatistics.org/2018/04/17/what-is-a-successful-data-analysis/
- 59. THE A-HA MOMENT ▸Observable only from the first-person perspective
- 60. THE A-HA MOMENT ▸Observable only from the first-person perspective ▸ Third person observers can only rely on accounts
- 61. THE A-HA MOMENT ▸Observable only from the first-person perspective ▸ Third person observers can only rely on accounts ▸ People are unreliable about communicating their experiences
- 62. COMMON ADVICE ▸ “Thinkabout your audience” ▸ “Build good partnerships” ▸ “Be a good communicator” ▸ …
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- 64. Empathy“the capacity tounderstand or feel what another person is experiencing from within their frame of reference, i.e., the capacity to place oneself in another's position.” https://en.wikipedia.org/wiki/Empathy
- 65. Design sprints (andother design processes) People are most willing to share when they don’t feel judged Listening to and understanding stakeholders is a key part of creating solutions for them
- 66. Design sprints (andother design processes) Most have rules for “playing nice” ▸ Non-judgmental observation ▸ Ideas originate from stakeholder interviews ▸ Require listening to and validating other people’s opinions
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- 68. My experience withZen Buddhism
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- 71. Zazen Central practice ofZen Buddhism
- 72. Zazen Central practice ofZen Buddhism “Sitting meditation”
- 73. Zazen Central practice ofZen Buddhism “Sitting meditation” Cultivating the ability to observe yourself non-judgmentally, and with curiosity
- 74. Zazen Central practice ofZen Buddhism “Sitting meditation” Cultivating the ability to observe yourself non-judgmentally, and with curiosity Acceptance practice
- 75. Zazen Cultivate this acceptancewith yourself, and it will increase your capacity to observe, accept, and be connected to others.
- 76. Empathy / “Art”in Data Science Accepting the audience where they are right now -- their educational context, their biases, their motivations
- 77. Empathy / “Art”in Data Science Accepting the audience where they are right now -- their educational context, their biases, their motivations Accepting yourself where you are right now -- your biases, your preferences, your blind spots
- 78. Empathy / “Art”in Data Science Accepting the audience where they are right now -- their educational context, their biases, their motivations Accepting yourself where you are right now -- your biases, your preferences, your blind spots Employing modes of communication other than scientific communication
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- 80. Data science includesall three forms of human cognition: science, art, and design
- 81. Data science includesall three forms of human cognition: science, art, and design Design research can be leveraged for teaching students the “how” of data science
- 82. Data science includesall three forms of human cognition: science, art, and design Design research can be leveraged for teaching students the “how” of data science The “art” of data science is the skilled use of empathy, which can be cultivated
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- 85. Designerly Ways ofKnowing / Design Thinking (Nigel Cross) Nigel Cross is one of the primary academics working on “Design as a Discipline”. He is also a superb writer, and writes about the field in a very accessible way. I read Designerly Ways of Knowing, however I am told that Design Thinking is very similar content. Additionally, each chapter of Designerly Ways of Knowing is an article, so it is possible to get access to those without purchasing the book.
- 86. Sprint (Jake Knapp) Thisbook outlines the design sprint process, and has several case studies of sprints working (and not working) at various startups. It’s an enjoyable quick read that introduces one structured approach to design thinking.
- 87. Designing Your Life(Bill Burnett and Dave Evans) This book is also taught as a very popular class from the Stanford d.school. I found it extremely helpful for establishing a “design mindset” in a relatable way. Additionally, I think there is added benefit to helping students view their academic / work life in a non-judgmental way. I highly recommend introducing this to students, even though it is not related to statistics per se.
- 88. Articulating Design Decisions(Tom Greever) This book would be most helpful for students who want to enter the tech industry, but would also be helpful for everyone. It outlines the different contexts and motivations that people in various roles within the tech industry might have (e.g. CEOs are very results-driven rather than problem-driven). The applicability of this book to data science underscores how conceptually similar the fields of design and data science are.
- 89. The Art ofData Science (Roger Peng and Elizabeth Matsui) This book discusses the “how” of doing data science, and includes several examples. Roger and Elizabeth are great writers, and it is a fun and accessible read!
- 90. Statistics as PrincipledArgument (Robert Abelson) This book approaches statistics in a “design thinking” way. I don’t have as many comments as I haven’t dug into it, but I am intrigued by people in the field approaching statistics as rhetoric / argument!
- 91. The Field Guideto Understanding Human Error (Sidney Dekker) I didn’t talk about Blameless Postmortems in this talk, but have covered them in previous presentations (one, two) and in the paper “Opinionated Analysis Development”. Blameless Postmortems present another structured, non-judgmental paradigm shift for designing processes (versus products). I find them extremely useful for discussing statistical tools such as programming language choices, and think they would be another very valuable thing to teach to introductory students.
- 92. Stitch Fix DataScience Some folks on the Analytics & Algorithms team at Stitch Fix created an interactive visualization of the various ways that we use data science at the company. Some teachers have found it helpful to use Stitch Fix as an example of applied statistics in a non-traditional field, and I have to say I’m quite supportive of this! =)
- 93. 10% Happier (DanHarris) This is a very accessible introduction to meditation from a news anchor who came to it in a very skeptical way. I found it be extremely relatable and a great introduction to meditation and the various communities (including the Zen Buddhist community) who practice meditation.
- 94. San Francisco ZenCenter I live and practice with my partner at the San Francisco Zen Center. They have a number of online programs (including an “online zendo” -- practicing meditation in a group on a Zoom video chat!). This is a great resource if you are interested in Soto Zen Buddhist community and practice.