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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
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enrichment programming and continues to provide support through a vast network of former and current grant recipients. Beginning with the 2023-2024 grant cycle, BWF and the Charles H. Revson Foundation
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