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of artificial intelligence (AI) and big data to innovate and scale action. The interdisciplinary group utilizes qualitative and quantitative tools to solve key problems impeding action in conserving forests
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to the development of new models of social reasoning and to conduct large-scale online behavioral experiments that examine the predictions of these models. The broader project investigates how groups of people
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Resources Internal Number: 6128496 Postdoc Employee Agroecological Science / Data Science ESPM Organisms & the Environment/Eric and Wendy Schmidt Center for Data Science & Environment (DSE) Position
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