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-environment-climate public goods (AECPG). By combining insights from results-based, collective and spatially targeted schemes with novel financing and robust monitoring, REWARD seeks to build scalable models
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effectively about scientific and technological innovation when they are given explicit information about the higher-order structure of the underlying data. The project will combine topological data analysis
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