When All Science Becomes Data Science
Learning to code, and becoming comfortable with large datasets, may soon be a necessity in many traditional scientific fields. To make optimal use of that rapidly accumulating data, they need additional computer expertise, in databases, visualization, machine learning, and parallel systems. Sarah Loebman, a graduate student at the University of Washington, studies the Milky Way galaxy to find out how it arrived at its present structure. "Earlier in my career, I spent a good part of the day just loading data into my computer," she says.