Lily and David discuss the AIMS Rwanda doctoral course on problem solving in data science, reflecting on how participants engage with complex simulated datasets. They explore the challenges students face in identifying underlying models, the limitations of relying on AI tools, and the importance of interpretation and human insight in data analysis. The conversation highlights how the course evolves alongside new technologies while continuing to reveal fundamental lessons about working with data.
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