AI for Conservation: AI and Humans Combatting Extinction Together
A case study about the harnessing of citizen science and multiple AI methods in wildlife population studies and management. Tanya Berger-Wolff , a cofounder of Wildbook , will explain how AI methods can be used to turn massive collections of images into high resolution information database, enabling scientific inquiry, conservation, and citizen science. She will also demonstrate how AI methods are used to collect images from online social media, detect various species of animals and even identify individuals.
Computation, and more specifically and more recently AI, have fundamentally changed the way we live our lives and what we know about the world within and around us. However, while today we know more than ever about human activity we are flying blind when it comes to understanding the natural world.” says Microsoft’s Chief Environmental Officer and the Director of Microsoft’s AI for Earth initiative Dr. Lucas Joppa.
BACKGROUND
Recent breakthroughs in data collection technology, such as remote sensing technologies, genome sequencing, autonomous vehicles, and massive automated image and audio recording can provide data about the natural world that are orders of magnitude richer than any previously collected. Yet, the methods for leveraging these data for conservation are lacking. I will show several examples of AI for conservation across the globe and applications.
All of this came together in a deployed system, Wildbook, a project of tech for conservation non-profit Wild Me. We have built Wildbooks for over 20 species of animals, including whales ( flukebook.org), sharks ( whaleshark.org), giraffes ( giraffespotter.org), and working on elephants. In January 2016, Wildbook enabled the first ever full species (the endangered Grevy's zebra) census using photographs taken by ordinary citizens in Kenya.The resulting numbers are now the official species census used by IUCN Red List and we repeated the effort in 2018, becoming the first certified census from an outside organization accepted by the Kenyan government. Wildbook is becoming the data foundation for wildlife science, conservation, and policy. Read more: https://www.nationalgeographic.com/animals/2018/11/artificial-intelligence-counts-wild-animals/
Time | Time | Room | Speaker | Title | Track |
---|---|---|---|---|---|
5:15pm | 4:30PM | Auditorium | Tanya Berger-Wolf | AI + Conservation | Combatting Extinction | Social Good |
Professor at University of Illinois Chicago
Zooniverse and Northwestern Postdoctoral Fellow
Director of Law and Technology Initiatives & Senior Lecturer. Northwestern Pritzker School of Law & McCormick School of Engineering
Co-founder and CEO, Public Good Software
Assistant Professor of Computer Science at UIC
VP of Engineering, Public Good Software
Data Scientist at Medic Mobile
Senior Director, Performance Management and Innovation, College Now Greater Cleveland
President and CoFounder, Public Good Software
Director, Office of Innovation, Chicago Dept. of Public Health
Director, Urban Wildlife Institute at Lincoln Park Zoo
CEO and Co-Founder of Actuate
Professor CompSci, Director, Computational Population Biology Lab UIC, Co-founder Wildbook.org
NLG Software Engineer, Narrative Science
CTO and Founder of simMachines
Data Science, AI, Public Policy, Social Good @ UChicago. Previously Chief Data Scientist - Obama 2012 Campaign
Researcher and Applied Mathematician, IIT
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