Thomas Elliott

I am an academic turned data scientist, currently a fellow at the Insight Data Science program.

I am a lecturer in the Sociology and Political Science departments at California State University, Channel Islands. I am currently teaching Social Movements and Statistical Applications in Political Science. My research interests include sexualities, social movements, media (both old and new), and technology. I'm also interested in various methodologies, including advanced regression methods, social network analysis, and fuzzy set qualitative comparative analysis.

I am also an amateur computer programmer, writing applications to facilitate the coding and management of data I use for the various projects I am working on. I've also written a Python script that uses machine learning algorithms to predict the outcomes of RuPaul's Drag Race.

I graduated in Spring 2015 from the University of California, Irvine. My dissertation, chaired by Edwin Amenta, explores newspaper coverage of the gay and lesbian movement over the last sixty years. It focuses on explaining why the movement, and individual organizations, are covered and how news discourses on homosexuality have changed over time.