I am a computational social scientist and methodologist whose work is rooted in sociological social psychology and the sociology of culture. Though the empirical questions I have addressed in my work have applied theory and methods from these areas to an array of other subfields, including political sociology, criminology, and the sociologies of gender, work and occupations, and health, the common thread tying everything together is uncertainty. My central interest is in situations—and in particular, interactions—in which labels and meanings are unclear or variable, and so must be inferred by actors. I study the consequences of this uncertainty and the processes by which these inferences are made, often using tools that I build for the purpose.
I have three main lines of current work which investigate different forms of uncertainty in meaning and interaction. Descriptions are below with links to selected projects in each category. Download my CV for a complete list of my papers.
In the paper linked below, I investigate how uncertainty in meanings is structured on different levels of analysis. I draw an explicit distinction between two forms of uncertainty that operate on two levels of analysis: between-person disagreement in meaning, which has been previously studied; and meaning entropy, or the within-person uncertainty that an individual carries about the meaning of a concept, which had not previously been measured. I present a new method by which to measure meaning entropy in surveys. I use it to establish that within and between-person uncertainty are empirically as well as theoretically distinct, and I investigate how entropy is patterned between respondents and terms.
With a clear conceptual distinction between within and between-person meaning uncertainty and an empirical operationalization of both, the logical next question is, what are their effects? I plan to build upon this work to study topics such as: