 Recently, Rogier De Langhe (2012, 2014a and b, 2017) has been developing a broadly Kuhnian, two-process account of science from an economics standpoint. Instead of doing a series of historical cases, De Langhe and colleagues are developing algorithms to detect subtle patterns in the large citation databases now available. De Langue employs economic arguments to illuminate such themes as the division of cognitive labor, models of scientific progress, and scientists’ decisions about whether to specialize or to innovate. 