In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
Elle O'Brien,
Jordan Mick
Abstract:Data science has been heralded as a transformative family of methods for scientific discovery. Despite this excitement, putting these methods into practice in scientific research has proved challenging. We conducted a qualitative interview study of 25 researchers at the University of Michigan, all scientists who currently work outside of data science (in fields such as astronomy, education, chemistry, and political science) and wish to adopt data science methods as part of their research program. Semistructure… Show more
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