EPISODE · Jul 19, 2022 · 1H 21M
593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration
from Super Data Science: ML & AI Podcast with Jon Krohn · host Jon Krohn
Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today. In this episode you will learn: • Why Philip founded a School of Data Science [6:08] • How computing and data science have evolved across academic departments [15:55] • The improvements needed in higher education [26:44] • The most important data science skills for academia and industry and the 4+1 model [36:49] • Philip’s biomedical data science research and its fascinating practical applications [43:24] • The essential roles of open-source code and open-access publishing in data science [1:01:27] Additional materials: www.superdatascience.com/593
What this episode covers
Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today. In this episode you will learn: • Why Philip founded a School of Data Science [6:08] • How computing and data science have evolved across academic departments [15:55] • The improvements needed in higher education [26:44] • The most important data science skills for academia and industry and the 4+1 model [36:49] • Philip’s biomedical data science research and its fascinating practical applications [43:24] • The essential roles of open-source code and open-access publishing in data science [1:01:27] Additional materials: www.superdatascience.com/593
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593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration
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