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Dr Alessio Antonini is a research fellow at the Knowledge Media Institute of the Open University. He is the lead of the Knowledge Design team, part of the Intelligent Systems and Data Science group. His research focuses on the design of intelligent and interactive media, research infrastructures for the Humanities and AI-enabled innovation for community and personal wellbeing.

Keys: System Design, Smart City, Digital Humanities, Ontology Engineering, Web Technologies

Team: Enrico Motta, Iman Naja, Riccardo Pala

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23 Sep 2024


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05 Sep 2023

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Publications

Publications | Visit External Site for Details  

Naja, I., Divin, N., Coward, S., Campbell, S., Benatti, F. and Antonini, A. (2024) Conversational Media for Inclusive Access to Mental Health Interventions for Schoolchildren, 35th ACM Conference on Hypertext and Social Media (HT '24), Poznań, Poland

Publications | Visit External Site for Details  

Naja, I., Juarez, A. and Antonini, A. (2024) Social Media and Cities: a case-study based analysis of how digital life influences the urban physical environment, 35th ACM Conference on Hypertext and Social Media (HT '24), Poznań, Poland

Publications | Visit External Site for Details  

Antonini, A. and Naja, I. (2024) Positive Media, 35th ACM Conference on Hypertext and Social Media (HT '24), Poznań, Poland

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Benatti, F., Towheed, S., Blackburn-Daniels, S. and Antonini, A. (2024) @TellMeWhatUReadingbot: the Multi-modal Strategy of the READ-IT Project for Collecting Experiences of Reading, Creative Intelligence: 35th ACM Conference on Hypertext and Social Media (HT '24), Poznan, Poland

Publications | Visit External Site for Details Publications | doi 

Innominato, P., Macdonald, J., Saxton, W., Longshaw, L., Granger, R., Naja, I., Alloca, C., Edwards, R., Rasheed, S., Folkvord, F., Batlle, J., Ail, R., Motta, E., Bale, C., Fuller, C., Mullard, A., Subbe, C., Griffiths, D., Wreglesworth, N., Pecchia, L., Fico, G. and Antonini, A. (2024) Digital Remote Monitoring Using an mHealth Solution for Survivors of Cancer: Protocol for a Pilot Observational Study, 13, pp. (Early access)

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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