Litterati’s Analyse tool allows cities to take a data science approach to addressing the problem of litter by applying machine learning to photos of litter to develop a baseline of its composition.
A new collective will take a “place-based approach” to creating economic equity for low-wage workers through structural and systemic change in 10 locations across the US.
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