Citizen Science and Ecology from The Zooniverse

Capstone talk for 2016 American Society of Mammalogists conference at Minnesota

Transcript

1. Citizen science and ecology from The Zooniverse: turning data into discovery Alexandra Swanson University of Oxford @alicatzoo
3. (c) craig packer
4. (c) national geographic
5. (c) meredith palmer
6. (c) national geographic
7. TECHNOLOGY is changing the way we collect data (c) national geographic
8. TECHNOLOGY is changing the way we collect data
9. TECHNOLOGY is changing the way we collect data
10. TECHNOLOGY is changing the way we collect data
13. CITIZEN SCIENCE “
16. N y 225 cameras 1,125km2
26. Margaret Kosmala
35. Something about it’s okay if you make a mistake, PLUS introducing the TALK forums.
37. “At this very moment in Serengeti National Park, 225 cameras are flashing day and night, capturing the secret lives of Africa’s most elusive animals.
38. “At this very moment in Serengeti National Park, 225 cameras are flashing day and night, capturing the secret lives of Africa’s most elusive animals.
39. “At this very moment in Serengeti National Park, 225 cameras are flashing day and night, capturing the secret lives of Africa’s most elusive animals.
40. “At this very moment in Serengeti National Park, 225 cameras are flashing day and night, capturing the secret lives of Africa’s most elusive animals.
41. 1 MILLION classifications in 3 days
42. How do we get good DATA?
43. We send every image to many different people
51. Aggregate answers into “consensus” elephant baboon hippo warthog ? wildebeest
52. Compare to experts
53. 97% correct
54. False Negative (missed when there) False Positive (reported when not there) rhinoceros kori bustard dik dik spotted hyena ostrich cheetah guinea fowl female lion aardvark zebra baboon giraffe hippopotamus human leopard male lion mongoose porcupine secretary bird serval vervet monkey warthog waterbuck wildebeest T gazelle elephant hartebeest buffalo impala eland reedbuck other bird G gazelle bushbuck topi jackal aardwolf rodents 0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00 Error some species are harder than others Swanson et al. 2016
55. False Negative (missed when there) False Positive (reported when not there) rhinoceros kori bustard dik dik spotted hyena ostrich cheetah guinea fowl female lion aardvark zebra baboon giraffe hippopotamus human leopard male lion mongoose porcupine secretary bird serval vervet monkey warthog waterbuck wildebeest T gazelle elephant hartebeest buffalo impala eland reedbuck other bird G gazelle bushbuck topi jackal aardwolf rodents 0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00 Error some species are harder than others Swanson et al. 2016
56. False Negative (missed when there) False Positive (reported when not there) rhinoceros kori bustard dik dik spotted hyena ostrich cheetah guinea fowl female lion aardvark zebra baboon giraffe hippopotamus human leopard male lion mongoose porcupine secretary bird serval vervet monkey warthog waterbuck wildebeest T gazelle elephant hartebeest buffalo impala eland reedbuck other bird G gazelle bushbuck topi jackal aardwolf rodents 0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00 Error some species are harder than others Swanson et al. 2016
57. False Negative (missed when there) False Positive (reported when not there) rhinoceros kori bustard dik dik spotted hyena ostrich cheetah guinea fowl female lion aardvark zebra baboon giraffe hippopotamus human leopard male lion mongoose porcupine secretary bird serval vervet monkey warthog waterbuck wildebeest T gazelle elephant hartebeest buffalo impala eland reedbuck other bird G gazelle bushbuck topi jackal aardwolf rodents 0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00 Error some species are harder than others Swanson et al. 2016
58. False Negative (missed when there) False Positive (reported when not there) rhinoceros kori bustard dik dik spotted hyena ostrich cheetah guinea fowl female lion aardvark zebra baboon giraffe hippopotamus human leopard male lion mongoose porcupine secretary bird serval vervet monkey warthog waterbuck wildebeest T gazelle elephant hartebeest buffalo impala eland reedbuck other bird G gazelle bushbuck topi jackal aardwolf rodents 0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00 Error some species are harder than others Swanson et al. 2016
59. False Negative (missed when there) False Positive (reported when not there) rhinoceros kori bustard dik dik spotted hyena ostrich cheetah guinea fowl female lion aardvark zebra baboon giraffe hippopotamus human leopard male lion mongoose porcupine secretary bird serval vervet monkey warthog waterbuck wildebeest T gazelle elephant hartebeest buffalo impala eland reedbuck other bird G gazelle bushbuck topi jackal aardwolf rodents 0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00 Error some species are harder than others Swanson et al. 2016
60. 0.01 0.10 1.00 10 10 100 1,000 10,000 100,000 Total Pictures Error ErrorType False Negative False Positive rare species are especially hard Swanson et al. 2016
61. 0.00 0.25 0.50 0.75 1.00 right wrong Match to Gold Standard Disagreement 0 500 10001500 count we can predict which are right or wrong Swanson et al. 2016
62. 0.00 0.25 0.50 0.75 1.00 right wrong Match to Gold Standard Disagreement 0 500 10001500 count we can predict which are right or wrong Swanson et al. 2016
63. 0.00 0.25 0.50 0.75 1.00 right wrong Match to Gold Standard Disagreement 0 500 10001500 count we can predict which are right or wrong 98.2% correct Swanson et al. 2016
64. 0.00 0.25 0.50 0.75 1.00 right wrong Match to Gold Standard Disagreement 0 500 10001500 count we can predict which are right or wrong Swanson et al. 2016
65. 0.00 0.25 0.50 0.75 1.00 right wrong Match to Gold Standard Disagreement 0 500 10001500 count we can predict which are right or wrong 99.7% correct Swanson et al. 2016
66. WILL BE TIMELAPSE…. this is still citizen SCIENCE
67. WILL BE TIMELAPSE…. this is still citizen SCIENCE
68. WILL BE TIMELAPSE…. this is still citizen SCIENCE
69. Just the beginning…
80. 1.5 MILLION VOLUNTEERS
81. Why classify?
82. Why classify?
83. I love it in general. If I wasn't disabled I'd be a scientist and so it feels like a tiny tiny way to be "a part" of something that matters. “
84. I posted a thank you on the forums but would like to reinforce just how thankful I am to yourself and everyone involved. From a civilian point of view, being afforded such an amazing opportunity to contribute to an important scientific project is nothing short of incredible. “
85. People rise to the CHALLENGE
88. “We need your help”
89. “The classification challenge that we ran during British Science Week last month was an overwhelming success. After smashing through the initial target of 100,000 classifications in the first few days, our volunteers ended up doubling that in only 14 days. That corresponds to over one third of the entire dataset in the project.
90. 67 You don’t need cute to be successful (c) www.westernresourceadvocates.org
91. What makes a project SUCCESSFUL?
92. Cox et al. 2015
93. Direct correlation between engagement and academic impact Cox et al. 2015
94. ENGAGEMENT is an agent for change
95. LEARNING
102. 79 Sometimes we find things we’re not even looking for…
103. SERENDIPITOUS DISCOVERY
104. SERENDIPITOUS DISCOVERY
105. SERENDIPITOUS DISCOVERY Classify THIS
106. SERENDIPITOUS DISCOVERY Classify THIS what’s this?
107. SERENDIPITOUS DISCOVERY
108. SERENDIPITOUS DISCOVERY
109. We want to make CITIZEN SCIENCE available to researchers everywhere
110. www.zooniverse.org/lab
114. 0 20 40 60 2008 2010 2012 2014 2016 date Number of Projects Snapshot Serengeti DIY Platform Galaxy Zoo
115. 0 20 40 60 2008 2010 2012 2014 2016 year Number of Projects type ecology humanities natural/life sciences other space
117. All conservation of wildness is self-defeating, for to cherish we must see and fondle, and when enough have seen and fondled, there is no wilderness left to cherish. — Aldo Leopold
118. All conservation of wilderness is self-defeating, for to cherish we must see and fondle, and when enough have seen and fondled, there is no wilderness left to cherish. — Aldo Leopold
119. TECHNOLOGY is changing the way we collect data Technology is changing the way we collect data. Citizen Science is changing the way we turn data into discovery. (c) craig packer