I am currently an ESRC funded PhD student at the School of Informatics at the University of Edinburgh. The general topic of my research is user generated content on the internet. This includes how to encourageusers to add content and how to analyse and filter it in order to present useful and appropriate information. An overview is presented in project in my first year proposal here and the slides for the talk are here.

My current focus is using the structures defined in argumentation theory to summarise conversations within user generated content. This analysis involves various methods including clustering data from streams of text to identify specific discussions, text mining to identify specific patterns that predict argument structures and machine learning to classify those structures.

I work as a researcher within the Neuropolitics Research Lab with the School of Social and Political Science at the University of Edinburgh. In this work I am analysing the Social Media reaction to the 2016 UK-EU referendum. I am also current involved in a project between the School of Informatics at the University of Edinburgh and the company Quirkos to incorporate text analysis tool into the Quirkos analysis tool.

In general I am interested in digital libraries, open data, computational linguistics, text analysis, data and text mining. I previously worked as part of the Advance Technical Research group at JSTOR, an online journal archive, and as part of the digital library research group at the University of Liverpool. The projects I have worked on include Data for Research, JSTOR Auction Catalogs, The Archives Hub and the British Library's Incunabula Short Title Catalogue.