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Paolo Libenzio Brignoli is a staff professor at ETH Zurich specializing in Agricultural Economics Policy. He focuses on European policy evaluation and aims to provide data-driven evidence to inform policymakers and support farmers' livelihoods. His methodological work integrates classical econometric frameworks with machine learning to improve causal identification. Additionally, he leverages smart agriculture data and large-scale administrative sets to answer questions in agricultural economics, while also developing algorithms and tools to facilitate the application of advanced methods in applied economics. He completed his PhD at Wageningen University & Research, where his dissertation explored the intersection of data science and economic policy. His practical experience growing up on a family farm has influenced his research perspective, allowing him to bridge the gap between theoretical rigor and real-world application, ensuring his work addresses the actual challenges faced by the farming community.
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