Lynette Shaw is a Fellow with the Michigan Society of Fellows, and an Assistant Professor in the Center for the Study of Complex Systems at the University of Michigan. She received her Ph.D. in Sociology from the University of Washington in 2016.
Lynette’s research centers on modeling and theorizing processes of social construction in cultural and economic contexts. One of her current lines of work combines insights from economic sociology and computational social science methods to study the dynamics of valuation and definition currently playing out around new digital currencies. Her other line of research is devoted to formally modeling and experimentally validating the emergence of cultural dynamics from individuals’ implicit cognition and sense making through automatic associative processing.
Her general areas of interest include cognition and culture, economic sociology, classic and contemporary social theory, agent-based modeling, automated text analysis, and statistical methodologies.