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
Electronic Literature: The challenges of born-digital fiction
This event will take place on Tuesday 01 April 2025
Prof Dene Grigar - Washington State University Vancouver
How can early interactive novels, hypertext fictions and narratives be maintained and kept accessible? These forms of born-digital literature were produced before or shortly after the...
Showcase
People

I manage a team of software developers working on research and innovation projects throughout STEM. I have myself primarily coded on collective intelligence, knowledge mapping, and blockchain...
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