KMi is a diverse and multidisciplinary R&D lab that has been at the forefront of innovation since 1995, conducting research in computing technologies for social and environmental good. Our research spans Semantic Technologies, Artificial Intelligence, Educational Media, Social Data Science, Scholarly Data, Blockchain, Citizen Science, Collective Intelligence, Smart Cities, and others.
Upcoming Seminar
AI: Creating for Culture with Jocelyn Burnham
This event will take place on Tuesday 25 March 2025
Jocelyn Burnham - AI for Culture
In this high energy talk, discover how AI is merging with human creativity, self-expression, and - well, weirdness - to produce things we've never been able to do before. From generating...
Showcase
People
Having started my KMi journey, in January 2019, as part of the Institute of Coding project, in which I explored how the Learning Analytics Dashboard of the Open University (OUAnalyse) could be...
I completed my MSc. in Computer Science at The University of Hertfordshire in 2016 and then joined KMi as a part of the CORE team. I completed my PhD. in 2020 and am currently a Research Associate...
Testimonials
"If you are or want to be a brilliant mind, this is where you want to be!"
Valentina Presutti, Institute of Cognitive Science and Technologies, Italy
"I cannot imagine going to a conference without experiencing deep scientific conversations with KMiers!"
Raphaël Troncy, EURECOM: Graduate School & Research Center, France
"Top location for SW research for decades and going strong!"
Pascal Hitzler, Kansas State University, USA
Publications
Mikroyannidis, A., Ekuban, A., Kwarteng, J. and Domingue, J. (2025) Best Practices for the Responsible Adoption of Generative AI in Higher Education, Proceedings, 114, 1, pp. 1-8
Herodotou, C., Carr, J., Shrestha, S., Comfort, C., Bayer, V., Maguire, C., Lee, J., Mulholland, P. and Fernandez, M. (2025) Prescriptive analytics motivating distance learning student action: A case study of a student-facing dashboard, LAK25: The 15th International Learning Analytics and Knowledge Conference (LAK 2025), Dublin, Ireland
Borrego, A., Dessì, D., Ayala, D., Hernández, I., Osborne, F., Recupero, D., Buscaldi, D., Ruiz, D. and Motta, E. (2025) Research hypothesis generation over scientific knowledge graphs, Knowledge-Based Systems, pp. (Early access), Elsevier
