The University of Michigan School of Information has deeply interdisciplinary opportunities specifically at the intersection of data science/machine learning, human computer interaction, and education/learning analytics. We are interested in understanding and innovating on the data science education toolchain by taking projects like Jupyter and contributing new telemetry, collaboration, and education features. There is specific interest in looking at tool use in large scale learning environments across undergraduate, graduate, and lifelong (MOOC) environments.

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