Select Talks

Using computational methods to examine women’s movements from the 1860s to the 1970s, I challenge long-standing theories of feminist waves and reflect on the potential for using computational methods, in particular when combined with qualitative methods and interpretation, to re-examine historical patterns in social movements over long time frames.

In this talk I propose that, despite its claims to elevate social science to the level of the physical sciences, the social physics perspective as it is currently practiced produces a decidedly unscientific and unobjective approach to social science.

I empirically demonstrate the alignment between machine learning and inductive analysis through a word embedding model of first-person narratives of the nineteenth-century U.S. South.