Claire joined the Centre for Care in March 2025 as a Researcher in Data Science and Informatics . In her role at the Centre for Care, Claire will be applying cutting-edge data science techniques—such as textual analysis, large language models (LLMs), and sentiment measurement—to study parliamentary debates. Her work aims to uncover how issues related to care, inequality, and social policy are discussed and framed in political discourse. Through this, she seeks to provide deeper insights into how the politics of care are shaped over time and how language in policymaking reflects broader societal values and priorities.
Claire’s research interests span media economics, macroeconomics, political economy, and applied machine learning (including deep learning and large language models). Beyond her academic role, Claire has served as an invited consultant to the Scottish Government, helping to develop text-based measures of business sentiment and uncertainty for policy-making purposes.
Research interests
- Media Economics and Political Economy
- Textual Analysis (NLP) and Machine Learning
- Computer Vision for Visual Media Bias Detection
- Large Language Models (LLMs) and Deep Learning
- Macroeconomics and Policy Impact Analysis
Selected Works in Progress
- “Measuring Brexit Uncertainty: A Machine Learning and Textual Analysis Approach” (CEPR Discussion Paper 17410)
- “The Effect of Brexit Uncertainty with VAR”
- “Brexit and Visual Media Bias: A Computer Vision Approach”
- “From Floods to Votes: The Impact of Natural Disasters on Electoral Outcomes through Social Media Sentiment Analysis”
- “The Visual Narrative of Climate Change: Assessing Its Effect on Capital Market Movements”
If you’d like to learn more about Claire’s work, you can find her CV and additional details on her personal webpage.