Author: PhD Alyssa Giffin Read time: 703 words about 5 minutes. Welcome to part two of the five-part Transition article series, the sequel to the Emergent series, that follows ARI’s Post-Doc Research Fellows as they navigate the next stage of their academic journey post-PhD. Take a journey with them and hear about some of the [...]
Author: PhD Alyssa Giffin Read Time: 872 words, about 6 minutes. Welcome to part one of the five-part Transition article series, the sequel to the Emergent series, that follows ARI’s Post-Doc Research Fellows as they navigate the next stage of their academic journey post-PhD. Take a journey with them and hear about some of the [...]
By PhD candidate Ellen Ditria, Reading Time: 452 words, about 2 minutes. Fish IDing Sample. Photo: Global Wetlands Project. Deep learning has fast become recognised as a powerful data processing tool for ecologists faced with vast amounts of image-based data. The ability of deep learning to accurately detect target species in videos and images unlocks [...]
Rivers, lakes, and wetlands support extraordinary diversity. Such bodies of water host more species per square kilometre than forests or oceans. Yet they are losing this biodiversity two to three times faster than forests and oceans. Populations of freshwater animals, including river dolphins, sturgeon, beavers, crocodiles, and giant turtles, have already plummeted by 88%.
By PhD candidate Sebastian Lopez-Marcano Read Time: 416 words about 3 minutes. Data creates magic. In ecology, data is necessary to make targeted management decisions. New tools (i.e. deep learning / computer vision) are allowing data to be processed at vast rates which is making data more accessible and useful. However, converting raw data into meaningful insights for ecological research can be challenging. Data nodes. Photo: Akamai. Through the years, ecologists have become familiar [...]