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
I am the graphic designer for KMi, I maintain the general graphical elements for KMi along with the overall look and feel of the Lab. I also provide the graphics for KMi projects, these can range...
I am interested in the development and use of technology to support learning and discovery. Current areas of involvement include inclusive education and fieldwork.
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
