The emergence of data science in academia: Opportunities and tensions across disciplines
On Wednesday April 13th in the Data Science Studio at 2:30 the Data science studies group will have a discussion about different models of data science in academia and how values and approaches to analysis vary across disciplines. Brittany Fiore-Gartland and Alex Franks will give lightning talks and then open the session up for discussion. This conversation should be interesting and generative for a diverse group, from social scientists to data scientists, computer scientists and statisticians.
All are welcome. We look forward to seeing you there! Background Readings -50 years of Data Science, David Donoho, 2015, (only first two sections, p. 4-9) The first two sections just give some background on some of the tensions emerging across the field of data science. -Statistical modeling: The two cultures, Leo Breiman, Statistical Science 2001, Vol. 16, No. 3, 199–231 This widely cited paper offers an example of how tensions can arise from different cultural approaches to modeling.