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.

Who we are

Associate Professor,
Lab Director
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Associate Professor
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Research Fellow, based at the Leeds Institute of Medical Education
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Visiting Research Fellow; Lecturer at the University of Bradford
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PhD Research Student
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PhD Research Student
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PhD Research Student
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Research Summaries