AI + Conservation | Combatting Extinction

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/

 

Speaker: 
Tanya Berger-Wolf

Social Good Track Presentations

Time Time Room Speaker Title Track
5:15pm 4:30PM Auditorium Tanya Berger-Wolf AI + Conservation | Combatting Extinction Social Good

Social Good Track Speakers

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

AI + Social Good

Social Good Topics

Inclusion

  • Ensuring a digital world fairly represents all
  • Data literacy initiatives

Legal Justice

  • Representation for those without means
  • Methods of ensuring due process via data

Sustainability

  • Climate change and conservation
  • Pollution and food supplies

Personal safety

  • Crime and violence monitoring
  • Workplace and online

Local Governance

  • Data driven services and information
  • Better design and planning models

Privacy

  • Monitoring and stopping data infractions
  • AI models that optimize anonymity

Employment

  • Disallowing data driven discrimination
  • AI application workplace boundaries

Education

  • Personalized learning experiences
  • Intelligence assistants for instructors

Next event starts in

Next Events

AI for Social Good Conference
October 25, 2024

AI Careers Program
July 16, 2024
ALSO October 25, November 15

Midwest Applied AI Conference
November 14-15, 2024

 

About Chicago AI Days

AI Days is a production of Destination AI and it's partners. Destination AI is the leading Artificial Intelligence innovation hub in the Midwest, located at MARCH (The Midwest AI and Robotics Center for Humans).