Berger-Wolf co-organizes session on computational approaches in conservation at AAAS meeting

TDAI Faculty Directory Tanya Berger-Wolf and Daniel Rubenstein of Princeton University have organized a session at the American Association for the Advancement of Science’s 2020 meeting in Seattle, Feb. 13-16, entitled “Nature Conservation and Computational Technologies: Expanding the Scale.”

Tanya Berger-Wolf (with camera) and Daniel Rubenstein (driving) at the 2020 Great Grevy’s Rally in Kenya

The session, which starts at 1:30 p.m. Saturday, will showcase the range of computational approaches in conservation, from using sensors to monitor animal life cycle, to designing AI solutions to deter poaching, to creating technology to managing ecosystems on a global scale. It will feature three talks:

Berger-Wolf and Rubenstein are long-term long collaborators on using novel computational approaches to understand wild populations and animal behavior and creating solutions to preserve the biodiversity of the planet. They are co-founders of the AI for wildlife conservation platform Wildbook, which is becoming the data foundation for wildlife science, conservation and policy. The platform enabled the first-ever full species census (of the endangered Grevy’s zebra) using photographs taken by ordinary citizens in Kenya. The resulting numbers are now the official species census used by the IUCN Red List of Threatened Species and are the basis of Kenya’s conservation management policy. (Read National Geographic‘s article about Wildbook here.)

More about the session.

Share this page
Suggested Articles
War less likely between nations that are “friends of friends”

Even nations can have friends of friends, a new study led by TDA affiliate Skyler Cranmer has found. Skyler Cranmer Results suggest these indirect relationships have a surprisingly strong ability to prevent...

High GPAs could hurt young women job hunters

Stellar grades in college could hurt – rather than help – women new to the job market, according to a new study that suggests employers place more value on the...

Key accomplishments: TDA's 2016 Status Report

Assembling a dynamic community of faculty affiliates is one of Translational Data Analytics’ greatest achievements since its launch in 2014. TDA’s 2016 Status Report illustrates other notable progress toward convening...

Arora collaborating on NYC noise pollution project

TDA affiliate Anish Arora, professor of computer science and engineering and a specialist in sensor networks, is collaborating with scientists from New York University to examine noise pollution in New...

Check out TDAI in Ohio State Alumni magazine

An article in the new Ohio State Alumni magazine showcases Translational Data Analytics Institute faculty and programs and the university’s responsive approach to educating students in data science and analytics. Check...