The Intelligent Systems and Data Science team carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions, including Data Science, Semantic Web Technologies, Visual Analytics, Robotics, Large-Scale Data Infrastructures, Internet of Things, Machine Learning, and Human-Computer Interaction. Application domains include Smart Cities, Scholarly Data and Digital Humanities.
Our research is characterised by an emphasis on developing concrete solutions for concrete user audiences, while at the same time ensuring problems are approached by means of a broad socio-technological perspective. In addition, we also believe that most interesting problems can only be addressed through interdisciplinary approaches, hence our solutions tend to integrate different classes of computational methods, such as augmenting scalable data mining techniques with semantic technologies and background knowledge to improve both system performance and explainability.
Recent highlights comprise our work on the MK:Smart and MK:5G projects, which includes the development of the MK:Insight portal and the MK Data Hub infrastructure; our ongoing collaboration with Springer Nature on decision support tools for the academic publishing industry; our work on ‘robots in smart cities’ in the context of the SciRoc and Gatekeeper projects, and our collaborations with social scientists and musicologists to support and improve research methods in the Humanities.
In addition to our core R&D work, we are also closely engaged with the wider business community both in Milton Keynes and the wider SEMLEP region and indeed we consider innovation support a key aspect of our mission. In particular, we ran CityLabs, an innovative technology transfer programme funded by the European Regional Development Fund, which enabled SMEs in our region (South East Midlands) to take advantage of our expertise in Intelligent Systems and Data Science to develop innovative products and services for the digital economy.
We are very happy to announce that our team has secured a new two-year contract with Springer Nature (SN), which will continue the long-established strategic partnership until December 2027. This...
We are very happy to announce that our team has secured a new two-year contract with Springer Nature (SN), which will continue the long-established strategic partnership until December 2027. This...
KMi secured a new research project “Tracking Stars and Unicorns” funded by the UKRI Metascience unit, with an award of £310,646, to look at successful and unsuccessful proposals within all UKRI...
Dr. Francesco Osborne, from SKM, has secured ~£200,000 from UKRI’s Metascience Unit to explore how large language models can streamline grant peer review without diluting fairness. The 12-month...
Last week, Dr Angelo Salatino attended an invited prestigious Dagstuhl Seminar addressing the status quo, opportunities, and challenges of Open Scholarly Information Systems. Over the last 30 years,...
The 21st edition of the International Conference on Semantic Systems, commonly known as SEMANTiCS, took place in Vienna last week. This yearly event brings together academics and industry...
On 20 May 2025, Dr. Angelo Salatino was invited to give a webinar to the ISKO UK Meetup about our recenly published survey “A Survey on Knowledge Organization Systems of Research Fields:...
Tanay AggarwalPhD Student
Simone AngioniVisiting Student
Alessio AntoniniResearch Associate
Francisco Bolanos BurgosPhD Research Student
Jason CarvalhoProject Officer - Data Hub Development
Enrico DagaResearch Fellow
Alba Morales TiradoPhD Research Student
Enrico MottaProfessor of Knowledge Technologies
Iman NajaResearch Associate
Francesco OsborneResearch Fellow
Riccardo PalaWeb Developer
Alessia PisuVisiting Research Student
Angelo SalatinoResearch AssociateHanS is an experiment in service robotics and has been designed to be able to patrol KMi to try and identify possible violations to Health and Safety rules. For instance, typical rules check...
In this video, the Health & Safety robot inspector under development at ISDS, which is called HanS, is navigating KMi searching for a set of relevant everyday objects. The robot’s location...
A video produced by the My New Term team describing the collaboration between My New Term and The Open University in the context of the CityLabs innovation...
An early demo of Hans our robot who is aware of our health and safety guidelines and is able to navigate the lab, checking that these are enforced. In this early demo Hans goes around KMi spotting...
Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and Robotics
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