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Sheldon says, “The Dark Ecology Project will develop new resources allowing us to estimate the densities of migrating birds over the U.S. each year for the last 25 years.” His collaboration with computer vision expert Subhransu Maji at UMass Amherst and Steven Kelling, director of information science at the Cornell Laboratory of Ornithology, Ithaca, N.Y., is supported by a three-year, $903,300 National Science Foundation grant to UMass Amherst and $309,000 to Cornell. Sheldon has collaborated with scientists at the Cornell Lab of Ornithology since 2009, when he was a Ph.D. student at Cornell. Kelling’s information science team developed eBird, a citizen science project that collects observations from birdwatchers across the globe. The researchers use big data methods to http://alphoe3475313139.eccportal.net/the-challenges-today-for-clear-cut-topickeyword-secrets piece together eBird observations to reveal complex patterns of bird occurrence and to guide international bird conservation efforts such as the 2016 State of North America’s Birds report. Maji’s group has developed computer vision techniques for fine-grained categorization, which are alreadyhelping citizens connect with nature by automatically recognizing species of birds, animals, and other organisms in photographs. A long-term vision for the new grant, Sheldon explains, is to combine these new data resources to provide a detailed continent-wide view of bird migration. He says, “eBird data can tell us about bird distributions and which species are present at different locations and times of year, while radar data can tell us how birds are moving over the continent throughout the year.” They chose to name the project ‘Dark Ecology’ to allude to dark matter in the universe and the idea that “a lot of the science waiting to be discovered is hidden from our direct view,” he adds. Ornithologists, scientists who study birds, have known for decades that the U.S. weather radar network is sensitive enough to detect birds flying at night, and some researchers have used the data for studies.
For the original version including any supplementary images or video, visit https://www.umass.edu/newsoffice/article/%E2%80%98dark-ecology-project%E2%80%99-will-use-past
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