Upgrade to Pro — share decks privately, control downloads, hide ads and more …

The Changing Face of Citizen Science

03e2e7de45b193cac192ae7ea071e5ff?s=47 Arfon Smith
October 05, 2011
Research
1
100

The Changing Face of Citizen Science

Presentation at http://www.europeanaconnect.eu/europeanatech/

03e2e7de45b193cac192ae7ea071e5ff?s=128

Arfon Smith

October 05, 2011
Tweet

More Decks by Arfon Smith

See All by Arfon Smith
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
0
14
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
0
69
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
2
190
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
1
53
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
1
210
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
1
29
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
1
350
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
1
230
03e2e7de45b193cac192ae7ea071e5ff?s=48 arfon
1
150

Other Decks in Research

See All in Research
A2f0b02357897c8fa8e39ea87b33f450?s=48 pirika_info
0
790
1fc515e62713ddd330d767eda5c09e91?s=48 fukudakz
0
160
D0167b760673d702a06427fb3f878696?s=48 umepon
0
180
2ab3dc02a9448f246bab64174b19dc1e?s=48 nzw0301
2
340
D0167b760673d702a06427fb3f878696?s=48 umepon
0
170
5ecdb396047959b02fbf88204af108ce?s=48 waptech
5
680
D490d541e3d1ab04d5203e8b210b2233?s=48 ysekky
0
360
C612ab39597a17ba5948cae54d13f99f?s=48 mkimura
3
1.1k
3c1faf46ed965b7e4f8dd91a7faff117?s=48 kawasita
0
120
13f3313ae1ec1d9b3ed76ccbd746291b?s=48 takuyaa
0
160
32bc2790201d9301bbe5be830b03ff04?s=48 yoshipon
0
150
E2dd989b2ba0f83d8a981b9cb3197bf1?s=48 j20232
0
130

Featured

See All Featured
E14f55d3f939977cecbf51b64ff6f861?s=48 keithpitt
402
20k
E76911cbe088e5b850d966de3fc7435b?s=48 robhawkes
53
2.9k
A60068bce2e73de3a37ca9d2dbe36092?s=48 bryan
100
11k
25c7c18223fb42a4c6ae1c8db6f50f9b?s=48 mojombo
359
62k
48c098b6579220a67a6ba949be6e4b5a?s=48 revolveconf
201
9.7k
11c84dff30266b907714802088852677?s=48 jasonvnalue
81
8.2k
E190023b66e2b8aa73a842b106920c93?s=48 zenorocha
296
40k
B6a8f005f39d23ffc930508ac9da68b9?s=48 vanstee
118
4.9k
465724d73fe3a92c0879fdfb43a3a6f3?s=48 philhawksworth
192
17k
0c6fd6a08d0f898159cda7cafcacf07f?s=48 afnizarnur
177
14k
A9704266587836f7e784235e5073b93e?s=48 jmmastey
11
700
A9a491b0fcbe0fbce3d64063a37add99?s=48 rmw
12
870

Transcript

  1. Image: www.smartdestinations.com THE CHANGING FACE OF CITIZEN SCIENCE Arfon Smith

  2. Citizen science Volunteer Computing Crowdsourcing

  3. None
  4. None
  5. None
  6. None
  7. None
  8. None
  9. None
  10. None

  11. http://www.novacelestia.com

  12. None
  13. None

  14. 0 20 40 60 80 100 Professor

  15. 0 2,500 5,000 7,500 10,000 Professor Paper

  16. 0 12,500 25,000 37,500 50,000 Professor Paper PhD

  17. 0 250,000 500,000 750,000 1,000,000 Professor Paper PhD SDSS

  18. 0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 0 6

    12 18 24 30 36 42 48 Classifications per hour Hours 1 Kevin months Fukugita et al. 2007

  19. 170,000 Volunteers

  20. 50,000,000 Classifications

  21. Crowdsourced Science?

  22. None
  23. None
  24. None
  25. None

  26. (it works)

  27. Better than professionals

  28. Clean Super Clean

  29. None
  30. None
  31. None
  32. None
  33. None
  34. None
  35. None
  36. None
  37. None
  38. None
  39. None
  40. None
  41. None
  42. None
  43. None
  44. None

  45. https://github.com/zooniverse/Scribe

  46. Motivations

  47. None
  48. None
  49. None
  50. None
  51. None
  52. None
  53. None

  54. https://github.com/zooniverse/Talk

  55. 475,000 Volunteers

  56. 300,000,000 Classifications

  57. None

  58. Ethics of crowdsourcing

  59. Social contract

  60. 1. Collaborators not users 2. Contribute to real research 3.

    Don’t waste people’s time
  61. None

  62. Why crowdsource science?

  63. Serendipity (Measurable) Accuracy Scale Education

  64. None

  65. Future

  66. None
  67. None
  68. None
  69. None

  70. 0 25,000,000 50,000,000 75,000,000 100,000,000 Professor Paper PhD SDSS ?

  71. Expensive Noisy Classifier agents (Machine & Human)

  72. What are humans good at?

  73. Training Training

  74. None
  75. None

  76. Preference learning

  77. None

  78. Bar strength

  79. None

  80. Bar strength

  81. Classifier combination

  82. None

  83. ?

  84. None
  85. None

  86. Thanks arfon@zooniverse.org Twitter: @arfon