1. Pen-Yuan Hsing et al. Developing a web platform for citizen scientist-led camera trap monitoring of wild mammals “Red Fox, White Field, Blue Course” on Flickr by Carly Lesser & Art Drauglis CC-BY-SA 2.0

2. “Roe Deer, Cotswolds, Gloucestershire” on Flickr by Kumweni CC-BY 2.0

3. “iPhone4 4S” frame from OpenClipArt by jhnri4 public domain Gaston & Fuller photos and text generated by www.ios8text.com under fair usewww.ios8text.com L: “The Best of the Bunch” on Flickr by Peter Trimming CC-BY 2.0 R: “full up grey squirrel” on Flickr by Funk Dooby CC-BY-SA 2.0

4. modified from “2013_06_120018 TB or not TB” on Flickr by Gwydion M. Williams CC-BY 2.0

5. modified from “learning her bird” on Flickr by Don Freiday and USFWS CC-BY 2.0 2800 volunteers annual Breeding Bird Survey + optional mammal reporting

6. bird surveys usually happen during the day & breeding season mammals are often nocturnal & elusive

7. Ma mmal W atch S outh E ast “Mammal Tracker” app app image from http://www.brc.ac.uk/mammal_tracker/, fair use Mammal Society's logo & graphics under fair use

8. motion sensing camera traps

9. screenshot from http://www.edgeofexistence.org/instantwild/, fair usehttp://www.edgeofexistence.org/instantwild/

10. screenshot from http://www.snapshotserengeti.org/, fair use

11. collect classify analyse logos under fair use

12. MammalWeb logo under CC-BY-SA 4.0. Other logos under fair use

13. 50+ citizen scientists to deploy camera traps since May 2015

14. BES logo under fair use

15. school logo under fair use

24. presence (and maybe absence) behaviour distribution temporal change occupancy

25. 30 sites across north east England

27. many users don't return à la Sauermann & Franzoni (PNAS, 2015)* *Sauermann, H. & Franzoni, C. (2015) Crowd science user contribution patterns and their implications. Proceedings of the National Academy of Sciences, 201408907 0 1500 photos classified (mean & 95% range) 015 weeks after sign up

28. June December 2015 20000+ photos classified ~30000 photos uploaded

29. 25 species identified 0 25 unique species 0 30000 total photos uploaded

30. 400 0 photos of deer hour of day 1223 0 example: deer activity pattern

31. Haklay (2013)* levels of engagement level 1 *Haklay, M., 2013, Citizen Science and Volunteered Geographic Information – overview and typology of participation in Sui, D.Z., Elwood, S. and M.F. Goodchild (eds.), 2013. Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Berlin: Springer. pp 105-122 DOI: 10.1007/978-94-007-4587-2_7 citizens as sensors

32. Haklay (2013)* levels of engagement level 2 *Haklay, M., 2013, Citizen Science and Volunteered Geographic Information – overview and typology of participation in Sui, D.Z., Elwood, S. and M.F. Goodchild (eds.), 2013. Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Berlin: Springer. pp 105-122 DOI: 10.1007/978-94-007-4587-2_7 citizens as basic interpreters

33. Haklay (2013)* levels of engagement level 3 *Haklay, M., 2013, Citizen Science and Volunteered Geographic Information – overview and typology of participation in Sui, D.Z., Elwood, S. and M.F. Goodchild (eds.), 2013. Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Berlin: Springer. pp 105-122 DOI: 10.1007/978-94-007-4587-2_7 problem definition, data collection and analysis level 4

34. screenshot of https://weatherspark.com/ under fair usehttps://weatherspark.com/ 400 0 photos of deer hour of day 1223 0 deer activity pattern

35. citizen science democratisation of science

36. & co-authors: Steven Bradley 1 Vivien Kent 2 Russell Hill 1 Mark Whittingham 3 Philip Stephens 1 to all citizen scientists 1 2 3 thank you

37. Except for logos and where otherwise noted, the version of these slides on figshare made by Pen-Yuan Hsing are shared under the Creative Commons Attribution license. All copyrights reside with their respective assignees. https://www.MammalWeb.org/ biodiv.monitoring@durham.ac.uk @MammalWeb f Mammal Web