Abstract
On March 26, 2018, the Data Science Institute at Columbia University <https://datascience.columbia.edu/> hosted the inaugural Data Science Leadership Summit. It drew together a cross-section of academic researchers and administrators to discuss how university practices could best adapt to the emerging field of data science. The summit was co-funded by the National Science Foundation, the Gordon and Betty Moore Foundation, and the Alfred P. Sloan Foundation. This interview with Jeannette Wing, the Avanessians Director of the Data Science Institute at Columbia University and the author of The Data Life Cycle <https://hdsr.mitpress.mit.edu/pub/577rq08d> , discusses the motivation of the summit and summarizes its key findings. The interview was conducted by another experienced leader in data science, David Banks, the Director of the Statistical and Applied Mathematical Sciences Institute (SAMSI). <https://www.samsi.info/people/staff/> Keywords: data science institute, education units, inter-disciplinary, multi-disciplinary, university administration
Highlights
On March 26, 2018, the Data Science Institute at Columbia University hosted the inaugural Data Science Leadership Summit. It drew together a cross-section of academic researchers and administrators to discuss how university practices could best adapt to the emerging field of data science
The summit was co-funded by the National Science Foundation, the Gordon and Betty Moore Foundation, and the Alfred P
The interview was conducted by another experienced leader in data science, David Banks, the Director of the Statistical and Applied Mathematical Sciences Institute (SAMSI)
Summary
On March 26, 2018, the Data Science Institute at Columbia University hosted the inaugural Data Science Leadership Summit. It drew together a cross-section of academic researchers and administrators to discuss how university practices could best adapt to the emerging field of data science.
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