Email Print Share

News From the Field

New machine learning method predicts additions to global list of threatened plant species

December 3, 2018

A new method uses machine learning and open-access data to predict whether species are eligible for at-risk status on the IUCN Red List. The researchers trained a machine learning algorithm to assess more than 150,000 plant species worldwide and found that more than 10 percent of these species are highly likely to qualify for at-risk classification. The algorithm can be applied at any scale, from the entire globe to a single city park. Full Story

University of Maryland

The National Science Foundation (NSF) is an independent federal agency that supports fundamental research and education across all fields of science and engineering. In fiscal year (FY) 2019, its budget is $8.1 billion. NSF funds reach all 50 states through grants to nearly 2,000 colleges, universities and other institutions. Each year, NSF receives more than 50,000 competitive proposals for funding and makes about 12,000 new funding awards.

mail icon Get News Updates by Email 

Useful NSF Web Sites:
NSF Home Page:
NSF News:
For the News Media:
Science and Engineering Statistics:
Awards Searches: