Caroline is a PhD candidate in Economics. She is mostly interested in Political Economics and uses tools from computational text analysis in her work to analyse electoral campaign data. In particular, she exploits the content of election pamphlets from French elections to measure ideology convergence between candidates.
A PhD candidate in sociology, Jaren applies computational methods to examine the interplays of culture and structure within and around formal organizations. His previous research examined culture and employee involvement in manufacturing firms. His dissertation research uses web-crawling, mixed-effects models, and computational text analysis--including custom dictionaries, clustering, and word embeddings--to explore the performance effects and sociopolitical contingencies of ideological differentiation in the charter school sector.
Ben (www.gebre-medhin.com) is a PhD Candiate in sociology. His interests are in the subfields of organization, the professions, and higher education. His dissertation focuses on elite universities and the MOOC movement. For part of that project it uses topic models and text analysis tools to document changes in discourse within an organizational or professional field over time.
