Culture In Numbers open data workshop 18 Feb 2015

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Workshop on opendata and culture. Exercises in finding narratives from data in cultural organisations and using ideas of art to create new meanings in datasets.

Workshop designed for Leeds Data Mill and run at Culture In Numbers event on 18th February 2015

Published in: Data & Analytics
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  • http://beautifuldata.net/2015/02/slow-data/
  • Culture In Numbers open data workshop 18 Feb 2015

    1. 1. Culture In Numbers
    2. 2. A mathematician, like a painter or a poet, is a maker of patterns. Godfrey Harold Hardy
    3. 3. Numbers In Culture
    4. 4. Narratives
    5. 5. DATA
    6. 6. Time
    7. 7. The Past
    8. 8. Analyse
    9. 9. The Future
    10. 10. Predict
    11. 11. The Present
    12. 12. Explain
    13. 13. Focus
    14. 14. What
    15. 15. Why
    16. 16. How
    17. 17. Depth
    18. 18. Methods
    19. 19. Correlation
    20. 20. Causation
    21. 21. Take a data set
    22. 22. Catering Meals sold Drinks sold Ingredients bought Shop Postcards sold Gifts sold Items bought Gallery Footfall per room Loiter time Artefacts on display Entrance People entering Guides sold Complaints made
    23. 23. Make a story
    24. 24. Time Focus Methods
    25. 25. Tell us a story
    26. 26. But...
    27. 27. Culture in numbers
    28. 28. I am interested in mathematics only as a creative art. Godfrey Harold Hardy
    29. 29. Art as critique
    30. 30. Art as response
    31. 31. What I say What you understand
    32. 32. Beauty is the first test: there is no permanent place in the world for ugly mathematics. Godfrey Harold Hardy
    33. 33. Generative art
    34. 34. Footfall
    35. 35. Iteration as journey
    36. 36. Glitch art
    37. 37. Error as exploration
    38. 38. Leeds Art Crawl
    39. 39. Walk Paris See Leeds
    40. 40. Absurdist art
    41. 41. Dada data
    42. 42. Toilet flushes versus Art Appreciation
    43. 43. Often the absurd is what unveils hidden aspects of our models. Joerg Blumtritt
    44. 44. See Pee Tea Flee
    45. 45. Take your data set
    46. 46. Make something new
    47. 47. Imagine how to change it
    48. 48. Generative Glitch Dada Whatever
    49. 49. Tell us what you made
    50. 50. 2 things
    51. 51. There are numbers in culture
    52. 52. There is culture in numbers
    53. 53. What we say What we understand
    54. 54. Thank you

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