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Nature Intelligence Unit
Picture Pollinator
Challenge 1: Social media meets citizen science
How can we use all our extraordinary innovation in culture and
technology to participate more meaningfully with stuff that truly
matters e.g the health of the biosphere that supports us and all life?
What problem did we identify?
Lots of existing photos on
social media
People take beautiful pictures of wildlife& share their pictures on social networks.
We can monitor wildlife using these picturesBut...
1. How can we access these
images?
Twitter: by monitoring the feed
Facebook: by historical search
Flickr: by API search
Instagram: by API search
hashtags.
#springblooms #cloudspotting #woodpecker
#daffodil
#ilovedaffs #springflower #dfdl
Wild flower. Cut flower. Marathon runner.
Accessing images
Create a universal access code to allow anyone to monitor and access these images.
Based on scientific name e.g. Narcissus jonquilla = #Narcissus_jonquilla
Already done with some imageswww.jonchamberlain.com/niu
2. How do we know the metadata
is correct?
Confirming the metadata
Ask the person who took the photo to identify it.
Assist the person by using machine learning to guess species based on:
Location. Time of day. Date. What they were asked to find.
3. How can people contribute with the least effort?
Tying into existing behaviours
Using a small app or plugin for smartphone camera
Follow existing dataflows of Instagram and Twitter
Minimal extra screens/buttons/info
4. What can we do with this data?
Make it accessible
We now have a bunch of happy, unhindered people going around taking and pics of nature
using well-formed tags.
Anyone can now monitor social networks for this info.
e.g. Springwatch, NI5, NIU spellcasterAnd Scientists / Researchers
Nature Intelligence Unit
Social Media meets Citizen Science.Picture Pollinator.
