Bio
Sandrine Chausson is a PhD student at the University of Edinburgh. She previously studied Politics, Philosophy & Economics at the University of York and Computer Science at Imperial College London. In the context of her PhD, Sandrine has been involved in several collaborations, including developing a tool for audience research for the BBC, the analysis of a large Twitter dataset about the 2020 US presidential elections alongside sociologists from UC Berkeley, and co-developing a social media analysis dashboard for the detection of online narratives for the "Modelling Audience Interactions" Turing project. She also previously worked for Alygne, a start-up that uses Natural Language Processing to identify companies' alignment with ESG standards.
Research interests
In her research, Sandrine develops state-of-the-art Natural Language Processing methods for discourse analysis and uses them in the context of social science research. More specifically, she looks at how climate change has disrupted moral norms in Western societies, the sense-making narratives that have emerged as a result, and their influence on public policy preferences. She has plenty of experience analysing large textual datasets, especially social media data.