Bridging Innovation Gaps
Susan discusses the tendency of organizations to prioritize short-term innovations due to measurement challenges, which can lead to a narrow focus and missed opportunities. She highlights the disparity between the machine learning community's prowess in prediction and economists' strengths in causal inference. By integrating big data with causal analysis and being transparent about methodologies, researchers can enhance their work and tackle the complexities of causal inference more effectively.In this clip
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EconTalk
Susan Athey on Machine Learning, Big Data, and Causation
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