We are group of researchers in artificial intelligence and interdisciplinary modelling
All STEM research projects > Displaying [1–7 of 7]
Ambiguity recognition and nocuous ambiguity
This research theme investigates how humans interpret ambiguous text, and how ambiguity can be either recognised or resolved by computers.
Argumentation, Reasoning and Digital Thinking Tools
In the age of Generative AI, social media and polarisation, for societies to function well, citizen need to be supported with understanding, evaluating and constructively discussing multiple often contradictory points of view.
Computational Musicology
This theme investigates musicological questions, in an empirical way, through the use both of algorithms and machine learning (in particular generative AI).
Dialogue and information flow
This theme focuses on computational models of dialogue and information flow.
Machine Learning for Medical, Cognitive and Behavioural Data Analysis
This theme focuses on analysing medical, cognitive, and behavioural data using various models, including supervised and unsupervised machine learning, deep learning, and Natural Language Processing (NLP).
Machine Learning in Astronomy
This theme is grounded in research on Machine Learning to model the human visual system and making systems that can recreate human visual classification performance.
Teaching programming with generative AI
The widespread availability of generative AI tools has changed the way developers and students approach programming tasks.
