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Research project

Gendered body language and speech styles in UK Parliament using machine learning

Project overview

This project aimed at studying how gender mediate body language and speech styles in Parliamentary debates, using methodological and empirical contributions to both fields. We developed tools to study audio in Parliamentary debates from the House of Commons and used methods from Natural Language Technique to extract information from Hansard transcripts.


Lead researcher

Doctor Rafael Mestre PhD, MSc, BSc

New Frontiers Fellow

Research interests

  • Multimodal machine learning and Natural Language Processing
  • Computational social science

Connect with Rafael

Other researchers

Doctor Stuart Middleton

Associate Professor

Research interests

  • Natural Language Processing
  • Human-in-the-loop AI

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Doctor Matt Ryan

Associate Professor

Research interests

  • Democracy
  • Social Research Methods

Connect with Matt

Professor Tim Norman

Head of School

Connect with Tim

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