mk 5g project full details
MK:5G
MK:5G Connecting Communities
The MK:5G project is a new initiative which focuses on the deployment of a 5G infrastructure designed exclusively to support research and development in the context of the smart city agenda in Milton Keynes. The envisaged 5G network will cover Central MK, as well as key sites such as the Stadium, Bletchley & CMK rail stations, MK Hospital, the local universities, key junctions on the M1 and a number of rural communities. Building on the work carried out in the MK:Smart project, the project will also deploy a dedicated data exchange facility, which will support trial applications across three sectors: Mobility, Health & Wellbeing, and Energy.
The project is led by Milton Keynes Council and is funded by the South East Midlands Local Enterprise Partnership (SEMLEP). The MK:5G Consortium also includes The Open University, BT, Huawei, CityFibre, TechMahindra, the Satellite Applications Catapult and the Connected Places Catapult. The main role of The Open University is to enhance the Data Hub infrastructure developed in MK:Smart to support the novel test cases associated with this initiative.
Mikroyannidis, A. and Armakolas, S. (2026). Mind-Size Bites, Macro Impact: A Research-Based Framework for Experiential Learning in Online Microlearning Targeting Mental Health Counsellors. In: 20th International Technology, Education and Development Conference (INTED 2026), 2-4 Mar 2026, Valencia, Spain. https://oro.open.ac.uk/109147/.
Mikroyannidis, A., Kwarteng, J., Third, A., Domingue, J. and Tarrant, D. (2026). Learning with Responsible AI: Perceptions and Experiences of Learners in Online Professional Education. In: 20th International Technology, Education and Development Conference (INTED 2026), 2-4 Mar 2026, Valencia, Spain. https://oro.open.ac.uk/109149/.
De Liddo, A., Anastasiou, L. and Buckingham Shum, S. (2026). Human/AI Collective Intelligence for Deliberative Democracy: A Human-Centred Design Approach. In: Pournaras, Evangelos; Majumdar, Srijoni; Hausladen, Carina and Helbing, Dirk eds. Handbook of Democracy in the Age of Artificial Intelligence. Edward Elgar Publishing (In Press). https://oro.open.ac.uk/109046/.
Salatino, A., Osborne, F., Recupero, D.R., Angioni, S. and Motta, E. (2026). Does Diversity of Expertise Drive Citation Impact? Evidence from Computer Science. Scientometrics, 131 pp. 1119–1146. https://oro.open.ac.uk/109014/.
Polilli, W., Antonini, A., Platani, C., Stagnari, F. and Galieni, A. (2026). Enhancing Morpho-Kinematic analysis for Plant Water Stress Classification through Leaf Movements. Smart Agricultural Technology, 13 https://oro.open.ac.uk/108947/.
Anastasiou, L. and De Liddo, A. (2025). BCause: Human-AI collaboration to improve hybrid mapping and ideation in argumentation-grounded deliberation. In: GenAICHI: CHI 2025 Workshop on Generative AI and HCI, 26 Apr - 01 May 2025, Yokohama, Japan. https://oro.open.ac.uk/108723/.
Vincent, T., Whalley, P., Fuller, P. and Grey, C. (1994). Multimedia Environment for Training. In: Proceedings of the Future Integrated Solutions Conference, 1994, Ace Centre, Oxford. https://oro.open.ac.uk/108709/.
Pride, D., Guenci, M., Docekal, M., Peroni, S. and Knoth, P. (2025). Identifying and classifying software mentions in full text scholarly documents. In: 2025 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 15-19 Dec 2025, Dekalb, IL, USA. https://oro.open.ac.uk/108570/.
Vincent, T. and Whalley, P. (1999). The Web: enabler or disabler. In: Eisenstadt, Marc and Vincent, Tom eds. The Knowledge Web: Learning and Collaborating on the Net. Routledge, pp. 31–46. https://oro.open.ac.uk/108595/.
Larasati, R. (2026). Explainable AI Approach to Compare Predictive Drivers of Student Success for Disabled and Non-Disabled Learners. In: International Conference on Artificial Intelligence and Teacher Education (ICAITE 2025), 07-09 Dec 2025, Kyoto, Japan. https://oro.open.ac.uk/108447/.
Kwarteng, J., Third, A., Mikroyannidis, A., Tarrant, D. and Domingue, J. (2026). SAGE-RAI: Design Patterns for Transparent RAG Systems. In: The ACM Web Conference 2026 (WWW '26), 13-17 Apr 2026, Dubai, United Arab Emirates. https://oro.open.ac.uk/108348/.
Bayer, V. (2026). Leveraging Learning Analytics to Support Institutional Efforts in Addressing Awarding Gaps. [Thesis] https://oro.open.ac.uk/107979/.
Bongini, P., Rossolini, M., Maurino, A. and Osborne, F. (2025). The information power of social media for investment decisions: an AI-driven analysis of Reddit posts. Journal of Financial Management, Markets and Institutions, 13(02), https://oro.open.ac.uk/107939/.
Cancellieri, M., El-Ebshihy, A., Fink, T., Fröbe, M., Galuščáková, P., Gonzalez-Saez, G., Goeuriot, L., Iommi, D., Keller, J., Knoth, P., Mulhem, P., Piroi, F., Pride, D. and Schaer, P. (2025). LongEval at CLEF 2025: Longitudinal Evaluation of IR Systems on Web and Scientific Data. In: 16th International Conference of the CLEF Association, CLEF 2025, 9-12 Sep 2025, Madrid, Spain. https://oro.open.ac.uk/107796/.
Polilli, W., Galieni, A., Platani, C., Stagnari, F. and Antonini, A. (2026). Automated classification of plant water status through morpho-kinematic monitoring of plant movement. Computers and Electronics in Agriculture, 241 https://oro.open.ac.uk/107801/.
Fernandez, M., Jurasz, O. and Pavón Pérez, Á. (2025). Submission to the Call for inputs by UN Working Group on discrimination against women and girls to the 2026 Thematic Report on Gender Equality, the Digital Space and the Age of Artificial Intelligence. United Nations Working Group on discrimination against women and girls. https://oro.open.ac.uk/107480/.
Mikroyannidis, A., Perifanou, M. and Economides, A.A. (2025). Enhancing Language Learning with Generative AI: The Case of the OpenLang Network Platform. Computers, 14(12), https://oro.open.ac.uk/107547/.
Murgia, M., Dessi, D., Osborne, F., Buscaldi, D., Motta, E. and Recupero, D.R. (2025). CiteGen: A Web Application for Citation Recommendation Powered by LLMs and Knowledge Graphs. In: The Semantic Web: ESWC 2025 Satellite Events, 01-05 Jun 2025, Portoroz, Slovenia. https://oro.open.ac.uk/107360/.
Sides, T., Kbaier, D., Farrell, T. and Third, A. (2025). Bridging trust gaps: Stakeholder perspectives on AI adoption in the United Kingdom NHS primary care. Digital Health, 11 https://oro.open.ac.uk/107412/.
Burel, G., Lisena, P., Daga, E., Troncy, R. and Alani, H. (2025). ClimateSense at CheckThat! 2025: Combining Fine-tuned Large Language Models and Conventional Machine Learning Models for Subjectivity and Scientific Web Discourse Analysis: Notebook for the CheckThat! Lab at CLEF 2025. In: CLEF 2025, Conference and Labs of the Evaluation Forum, Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, In CheckThat! Lab, 09-12 Sep 2025, Madrid, Spain. https://oro.open.ac.uk/107353/.











