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“I think over time, in every discipline, there’s more and more eagerness to connect with data science, or AI, or both.”

On this episode, Yolanda Gil, a Research Professor of Computer Science and Spatial Science at the University of Southern California and Principal Scientist at USC’s Information Sciences Institute, discusses how USC makes programming and data science more accessible to non-programmers in hopes of creating more diversified data science teams. She also shares how student’s eagerness to connect with data science and AI has led USC to “rethinking” current degrees and incorporating data science across their curriculum.

“We’re not just creating new degrees, we’re also rethinking our current degrees.”

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