Data Science Students Team Up With Marine Biologist
The students are using deep learning and neural networks to create an automated system that classifies plankton for large-scale oceanographic studies.
The students are using deep learning and neural networks to create an automated system that classifies plankton for large-scale oceanographic studies.
Computer scientists at Columbia University will work with oceanographers to understand what has caused an unusual plankton-like species to rapidly invade the Arabian Sea food chain, threatening fisheries that sustain more than 100 million people.
One of the goals of Andy Juhl’s and Craig Aumack’s Arctic research is to determine the role of ice algae as a source of nutrition for food webs existing in the water column and at the bottom of the Arctic ocean.
Andy Juhl and Craig Aumack, microbiologists from Columbia University’s Lamont-Doherty Earth Observatory, are spending a month in Barrow, Alaska studying algae in and below sea ice, and how our warming climate may impact these important organisms.
As Discovery Channel fans know, the Bering Sea supports one of the world’s most productive fisheries, accounting for more than 50 percent of U.S. fish and shellfish catches. The goal of our study is to understand how climate change is impacting phytoplankton, and ultimately the Bering Sea ecosystem.