Cross-Disciplinary Data Science Education (feat. Hunter Glanz)

Access the full transcript for this episode“Years and Years ago […] at Cal Poly, Statistics and Computer Science were in the same college, but now [they’re in separate colleges] and it’s been that way for quite a long time, but it’s kind of funny that we used to have a lot more proximity to each other and now [...] we kind of come back around.”In this episode, Hunter Glanz, an associate professor at Cal Poly San Luis Obispo joins us to discuss the “fun challenge” of creating a cross-disciplinary major, such as Data Science, and how cross disciplinary collaboration and community can grow from this challenge. He also shares why it’s so important for educators to continue to be open to learning and shares a few of his favorite places to find inspiration and remain curious about Data Science research and education.“Scholarship is not just important for the sake of pushing the boundary of our knowledge but because it makes our classroom experience that much richer for our students.” This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceeducation.substack.com