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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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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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. The candidate should have no more than three years of post-degree research experience by start date. Preferred qualifications PhD in agricultural, environmental science and/or data science fields Demonstrate a
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with a specific focus on the use of artificial intelligence (AI) and big data to innovate and scale action. The interdisciplinary group utilizes qualitative and quantitative tools to solve key problems
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large-scale omics data, and contribute to manuscript preparation and grant writing. Additionally, they will mentor junior lab members and participate in scientific discussions and presentations