sociam april 2013 : the zooniverse as social machine

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Chris Linto+ University of Oxford Friday, April 26, 13

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Page 1: SOCIAM April 2013 : The Zooniverse as Social Machine

Chris  Linto+University  of  Oxford

Friday, April 26, 13

Page 2: SOCIAM April 2013 : The Zooniverse as Social Machine

Friday, April 26, 13

Page 3: SOCIAM April 2013 : The Zooniverse as Social Machine

The Milky Way Project: measure and map our galaxy in infrared

35,000volunteers

milkywayproject.org

drawings

3,000,000

Friday, April 26, 13

Page 4: SOCIAM April 2013 : The Zooniverse as Social Machine

The Andromeda Project: Explore high-resolution Hubble data to find star clusters in M31, and galaxies beyond it.

22days

andromedaproject.org

classifications

1,000,000+

Friday, April 26, 13

Page 5: SOCIAM April 2013 : The Zooniverse as Social Machine

Moon Zoo: mark craters and boulders on high-resolution data

9.45wales

moonzoo.org

classifications

3,300,000

Friday, April 26, 13

Page 6: SOCIAM April 2013 : The Zooniverse as Social Machine

Planet Four: locate seasonal ‘fans’ on the surface of the red planet.

75,000volunteers

planetfour.org

classifications

3,800,000

Friday, April 26, 13

Page 7: SOCIAM April 2013 : The Zooniverse as Social Machine

Planet Hunters: find and mark planets

200,000volunteers

planethunters.org

classifications

17m

Friday, April 26, 13

Page 8: SOCIAM April 2013 : The Zooniverse as Social Machine

Solar Stormwatch: track solar storms as they head toward to Earth

45,000volunteers

solarstormwatch.com

games

6

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Page 9: SOCIAM April 2013 : The Zooniverse as Social Machine

Old Weather: transcribe the logs of WW1 vessels as they travel the globe, collecting valuable climate data

25,000volunteers

oldweather.org

pages

1,000,000

Friday, April 26, 13

Page 10: SOCIAM April 2013 : The Zooniverse as Social Machine

Snapshot Serengeti: identify and describe animals in Serengeti National Park

20,000volunteers

snapshotserengeti.org

classifications

6,500,000

Friday, April 26, 13

Page 11: SOCIAM April 2013 : The Zooniverse as Social Machine

Whale FM: Listen to whale calls to decode their language

10,000volunteers

whale.fm

classifications

150,000

Friday, April 26, 13

Page 12: SOCIAM April 2013 : The Zooniverse as Social Machine

Seafloor Explorer: dive under the surface and tell us what you see

1week

seafloorexplorer.org

classifications

750,000

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Page 13: SOCIAM April 2013 : The Zooniverse as Social Machine

Cell Slider: answer simple questions about medical data to help the effort to find treatments for breast cancer.

24hours

cellslider.net

classifications

19,000

Friday, April 26, 13

Page 14: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 15: SOCIAM April 2013 : The Zooniverse as Social Machine

0

175000

350000

525000

700000

7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31

Lightcurves Classified in January 2012

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Page 16: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 17: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 18: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 19: SOCIAM April 2013 : The Zooniverse as Social Machine

Lintott et al., 2012arXiv : 1202.6007github : Zooniverse/Talk

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Page 20: SOCIAM April 2013 : The Zooniverse as Social Machine

Lintott et al., 2012arXiv : 1202.6007github : Zooniverse/Talk

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Page 21: SOCIAM April 2013 : The Zooniverse as Social Machine

Lintott et al., 2012arXiv : 1202.6007github : Zooniverse/Talk

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Page 22: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 23: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 24: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 25: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 27: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 28: SOCIAM April 2013 : The Zooniverse as Social Machine

Waterhouse, ‘Pay by the Bit: An Information-Theoretic Metric for Collective Human Judgment’, Proc CSCW, ACM, (2013), pp. 623-638

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Page 29: SOCIAM April 2013 : The Zooniverse as Social Machine

Waterhouse, ‘Pay by the Bit: An Information-Theoretic Metric for Collective Human Judgment’, Proc CSCW, ACM, (2013), pp. 623-638

We need models like this but we need to take into account :

- That people get bored, & that some tasks are more boring than others

- That learning occurs, & that some tasks are more effective educators than others.

- That these are in conflict!

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Page 30: SOCIAM April 2013 : The Zooniverse as Social Machine

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Page 31: SOCIAM April 2013 : The Zooniverse as Social Machine

zooniverse.org

Friday, April 26, 13