Presentation at Kings Citizen Humanities Comes of Age: Crowdsourcing for the Humanities in the 21st Century, September 2015 Some of these points are discussed in How an ecosystem of machine learning and crowdsourcing could help you http://www.openobjects.org.uk/2015/08/ecosystem-machine-learning-crowdsourcing/ How an ecosystem of machine learning and crowdsourcing could help you http://www.openobjects.org.uk/2014/09/helping-us-fly-machine-learning-and-crowdsourcing/

1. Choosy crowds and the machine age:
challenges for the future of humanities
crowdsourcing
Citizen Humanities Comes of Age: Crowdsourcing
for the Humanities in the 21st Century
King’s College London, September 2015
Mia Ridge, Open University
@mia_out http://miaridge.com

2. Crowdsourcing in cultural heritage is...
...asking the public to help with tasks that
contribute to a shared, significant goal or
research interest related to cultural heritage
collections or knowledge.
The activities and/or goals should be
inherently rewarding.

3. Motivations as guidance
People crave:
• satisfying work to do
• the experience of being
good at something
• time spent with people
we like
• the chance to be a part
of something bigger
(Jane McGonigal, 2009)
State Library of New South Wales
https://www.flickr.com/photos/29454428@N08/2880982738

4. Mobiles and tablets
http://familysearch.org/

5. The growth of platforms

6. Technology isn't enough
https://www.flickr.com/photos/missouristatearchives/20329587543/

7. Compete or collaborate?
http://www.hover.com/blog/what-ever-happened-to-webrings/

8. #party host
https://www.flickr.com/photos/nlireland/5786204856
Choosy crowds

9. Window shopping
https://www.flickr.com/photos/twm_news/6841092248

10. Balancing acts

11. Going off-piste
'...None of the above is ready to send to you as
I have more research to do'
https://www.flickr.com/photos/swedish_heritage_board/10207262464

12. Planning a graceful exit
https://www.flickr.com/photos/fylkesarkiv/4545543824

13. Task ecosystems
http://buildinginspector.nypl.org/

14. Simple tasks as stepping stones
http://www.fossilfinder.org/

15. http://www.npr.org/sections/money/2015/05/21/408234543/will-your-job-be-done-by-a-machine
Machine learning

16. Handwritten text recognition

17. Transcribing and tagging audio

18. Robot journalists
http://www.npr.org/sections/money/2015/05/20/406484294/an-npr-reporter-raced-a-machine-to-write-a-news-story-who-won

19. Flickr's image tagging

20. The end of stepping stone tasks?
https://www.flickr.com/photos/library_of_congress/

21. Robots can get it wrong

23. We won't run out of material soon
https://www.flickr.com/photos/statensarkiver/8975684427

24. We can go further together

25. PCF Image Recognition

26. Help create niche projects

27. Better task validation

28. https://www.flickr.com/photos/nationalarchives/4128460122
Personalised feedback

29. New tasks
http://crowdsourced.micropasts.org/project/photomaskingLunula

30. Better heuristics
https://www.flickr.com/photos/internetarchivebookimages/14780537354/

31. Keep learning, keep sharing!
Citizen Humanities Comes of Age: Crowdsourcing
for the Humanities in the 21st Century
King’s College London, September 2015
Mia Ridge, Open University
@mia_out http://miaridge.com