AI and Interdisciplinary Modelling (AI/IM)

We are group of researchers in artificial intelligence and interdisciplinary modelling. Our research includes the development of algorithms for generating and understanding natural language, music, gesture and other forms of interaction and communication. We also use machine learning and modelling techniques in interdisciplinary research on astronomy, education, human health, life science and more.

Research Themes

• Argumentation, Reasoning and Digital Thinking Tools
• Ambiguity recognition and nocuous ambiguity
• Computational Musicology
• Dialogue and Information Flow
• Machine Learning in Astronomy
• Machine Learning for Medical, Cognitive and Behavioural Data Analysis
• Teaching programming with generative AI