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STEM Knowledge Media Institute

Discover teaching, research and people across STEM Knowledge Media Institute.

About

At the Knowledge Media Institute (KMi), we transform bold ideas into innovative technologies with real-world impact on society and the environment. We understand technology, and people, and how to harness the latest technical advancements to tackle today’s and tomorrow’s challenges. For over 30 years, KMi has led AI-driven breakthroughs in knowledge and science, reinforcing research, education, and discovery with intelligent, ethical, and inclusive solutions.
Our work empowers all learners, with a strong focus on those from less advantaged backgrounds, ensuring education remains accessible and equitable. We specialise in Benevolent Tech, developing powerful tools for combating online harms, reshaping life in smart cities, reconnecting people with nature to save the planet, and advancing the world’s understanding of critical AI developments.

Our expertise in AI ethics, explainability, and human-AI collaboration is more crucial than ever, offering key insights for the responsible adoption of AI in education, research, and society. Our latest advancements include leveraging generative AI for personalised lifelong learning, powering a global open research system serving 30 million monthly users, and developing AI-driven tools to track and predict the progress and retention of over 100,000 students. What sets KMi apart is our pioneering hybrid approach; blending human and symbolic understanding with machine intelligence and analysis. This fusion enables us to move beyond conventional tech solutions, driving meaningful change through groundbreaking human-centred innovations.

KMi prides itself on being diverse, equitable, non-hierarchical and people-oriented, facilitating the free generation of ideas and their robust deliberation. It provides an agile and supportive environment that removes barriers to creativity, fosters innovation and enables talent to thrive.

Latest Knowledge Media Institute publications

Displaying 5 of 1592 publications

  • Bouaraba, S., Breuer, T., Cancellieri, M., El-Ebshihy, A., Fröbe, M., Galuščáková, P., Goeuriot, L., Iturra-Bocaz, G., Keller, J., Knoth, P., Kruff, A. K., Mulhem, P., Piroi, F., Pride, D., Schaer, P. and Schwab, D., 2027, ‘Overview of the CLEF 2026 LongEval Lab on Longitudinal Evaluation of Model Performance’, in Hagen, Matthias; Potthast, Martin; Stein, Benno; Schaer, Philipp; Zangerle, Eva; MacAvaney, Sean; Struß, Julia Maria; Sánchez Salido, Eva; Barrón-Cedeño, Alberto and García Seco de Herrera, Alba eds. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2026. Lecture Notes in Computer Science, 17087. Springer, pp. 548–573., https://oro.open.ac.uk/112607/.
  • Rienties, B., Bektic, D., Coughlan, E., Coughlan, T., Domingue, J., Edwards, C., Ekuban, A., Herodotou, C., Kwarteng, J., Sanders, C., Tessarolo, F. and Ullmann, T., 2027, ‘A five-study Design-Based Research Approach to co-design an Institutional AI Digital Assistant’, Computers & Education, 256, https://oro.open.ac.uk/111778/.
  • D’Amico, S., Maurino, A., Osborne, F. and Sperlì, G., 2026, ‘Evaluating the effectiveness of fine-tuning in financial NLP: The case of Social Trading Action Detection’, Information Processing and Management, 63(8), https://oro.open.ac.uk/110360/.
  • Fernandez, M., Pavón Pérez, n., Giallongo, D., Ghia, D., Yaqub, M., Quercia, D. and Cerquitelli, T., 2026, ‘When AI Enters the Workplace, Who Faces Greater Risks? A Gendered Analysis’, in Ninth AAAI/ACM Conference on AI, Ethics, and Society (AIES'26), 12-14 Oct 2026, Malmö, Sweden., https://oro.open.ac.uk/111750/.
  • Fadda, M., Motta, E., Osborne, F., Reforgiato Recupero, D. and Salatino, A., 2026, ‘Generating knowledge graphs from news articles via multi-agent claim extraction and attribution’, Knowledge-Based Systems, 352, https://oro.open.ac.uk/111827/.