Augmenting Human Intelligence

Our aim is building intelligent systems that help people make sense of data, take decisions in complex settings, expand their knowledge, learn from experience, and develop self-regulation skills. We develop computational models of people's conceptual structures by combining ontology engineering and machine learning methods; devise knowledge-driven approaches for modelling individuals, groups, and communities; and develop intelligent interactive interventions to provide personalised user-adapted support. This is cross-disciplinary research in collaboration with Engineering, Social Science, Education and Psychology, actively involving end users.