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.
Staff
Lead researchers
Lecturer
Research interests
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Emergent technologies
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Applied and responsible AI
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Health
Connect with Rafael
Associate Professor
Research interests
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Political behaviour and gender-based stereotyping
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Executive politics
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British politics
Connect with Jessica
Other researchers
Professor of Natural Language Processing
Research interests
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Natural Language Processing: Large Language Models
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Human-in-the-loop LLMs: Rationale-based learning, Active learning, Adversarial defence, Adver…
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Information Extraction: Text/Behaviour classification, Few/Zero shot learning, Location extra…
Connect with Stuart
Professor
Research interests
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Democracy
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Social Research Methods
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Web Science
Connect with Matt
Head of School
Research interests
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Learning and reasoning under uncertainty
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AI safety
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Human-AI collaboration
Connect with Tim
