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Crowdsourcing, computer vision, and data science for ecology and conservation Tanya Ber anya Berger ger-Wolf olf Daniel I. Daniel I. R Rubenstein ubenstein Charles V. S Charles Stewar tewart t Jason Holmber ason Holmberg g Computa


  1. Crowdsourcing, computer vision, and data science for ecology and conservation Tanya Ber anya Berger ger-Wolf olf Daniel I. Daniel I. R Rubenstein ubenstein Charles V. S Charles Stewar tewart t Jason Holmber ason Holmberg g Computa omputational Ecologist tional Ecologist Ecologist Ecologist Computer omputer Vision Scientist ision Scientist Da Data ta Ar Architect chitect

  2. From pixels to science and conservation Grid of thousands of images

  3. AI: Find animals, identify individuals Database of thousands Who is this? Zippy the Zebra!

  4. 6 • Population count • Birth/death dynamics • Species range • Social interactions • Species interactions Form new collaborations!

  5. Jan 2015

  6. Nairobi National Park Mar 1-2, 2015

  7. First ever full species census using photos from citizens Jan 30-31, 2016 hundreds of people 45 locations 90,000+ images 90%+ of zebra species

  8. We can go further! Biodiversity of the world through the lenses of individual cameras — Massive mining of social media — More species, more animals (facial recognition? Insects?) — Thermal signatures? — Under water (coral reefs) — Plants — Habitats — Weather … and microphones — whale songs and bird calls — species compositions … and?

  9. AI for Science Conservation Public engagement At large scale and high resolution over space, time, and individuals

  10. Marco Maggioni Clara Machogu Blair Costelloe Dan Rubenstein Jason Parham Tanya Berger-Wolf Jason Holmberg Jon Crall Mike Costelloe Jon Van Oast Chuck Stewart Sreejith Menon Drew Blount Zaven Arzoumanian Zach Jablons Jon Wrona Dan Lowe …engaging researchers and volunteers around the globe… … IBEIS.org WildMe.org

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