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His research develops theory and methods for the analysis of large-scale behavioral data, with a focus on how such data can be used to better understand poverty and economic development. Recent projects combine field experiments with big spatiotemporal network data to model decision-making in poor and conflict-affected regions of the world. Prior to joining Berkeley, Joshua was on the faculty at the University of Washington, where he founded and co-directed the Data Science and Analytics Lab. He is a recipient of the Intel Faculty Early Career Honor, a Gates Millenium Grand Challenge award, a Google Faculty Research Award, and a former fellow of the Thomas J. Watson Foundation and the Harvard Institutes of Medicine.
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论文共 111 篇作者统计合作学者相似作者
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REVIEW OF ECONOMICS AND STATISTICSno. 2 (2024): 352-369
Social Science Research Network (2023)
Journal of Development Economics (2023): 103016-103016
CoRR (2023)
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Social Science Research Network (2023)
SSRN Electronic Journal (2023)
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REVIEW OF ECONOMIC STUDIES (2023)
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