Informatics Research Centre

Mission

Our mission is to become a centre of excellence in informatics – the study of the creation, management and utilisation of information in scientific and economic activities.

The IRC undertakes both theoretical and applied research within the defined themes, with research funded by research grants, Post Graduate Research (PGR) and collaborative partnerships with organisations to deliver impactful research that matters.

Themes

Our research is currently undertaken in three targeted thematic areas of Health, Service Operations and Innovation, and User Experience:

Health – Theme lead: Dr Weizi (Vicky) Li

Health theme focuses on addressing real world healthcare challenges using informatics and inter-disciplinary methods. It includes healthcare information systems such as Electronic Health Records, decision support system and interoperability; data-driven healthcare such as advanced analytics, artificial Intelligence, machine learning, real-world data and evidence research for life science and healthcare; healthcare management such as integrated care system, health policy, hospital service and operation management and health inequality. Health theme in IRC emphasise on the co- creation of digital health research with end users such as clinicians and patients as well as industry to achieve real-world impact. It also brings together a multidisciplinary community of researchers across engineering, physical science, ICT and computation, medical and social science for novel digital health technologies.

Example projects include:

• EPSRC Future Blood Testing for Inclusive Monitoring and Personalsied Analytics Network+: https://futurebloodtesting.org/ ; https://www.henley.ac.uk/news/2021/dr-weizi-li-to-lead-1-million-blood-testing-research-using-digital-technologies
• Use of machine learning to identify patients with rapidly declining chronic kidney disease (MachineLearning CKD) (Health Innovation Partnership (HIP) with Royal Berkshire Hospital)
• The Health Foundation (Advancing Applied Analytics). Developing a patient event-based analytical framework to track and identify variation in clinical processes and patient outcome
• Economic and Social Research Council (ESRC) award in applications and implications of Artificial Intelligence (AI). “Application and implication of machine learning: understanding and predicting healthcare resource usage and patient risk for improved population engagement”. https://senss-dtp.ac.uk/news-1/2018/08/30/senss-awarded-an-esrc-artificial-intelligence-studentship
• Excellence in Impact Award, “Integrated Healthcare Information system for medical and care quality improvement”, O2RB (the University of Oxford, the Open University, Reading and Oxford Brookes) funded by Economic and Social Research Council Impact Acceleration Account, April 2018 https://www.socsci.ox.ac.uk/excellence-impact-awards
• Research Engagement and Impact Award, University of Reading. Predicting NHS outpatient attendance to reduce "Did-Not-Attend (DNA)" in Royal Berkshire NHS Foundation Trust, May 2020 https://research.reading.ac.uk/engagement-and-impact/intelligent-solutions-to-a-costly-issue/
• Phenotyping patients living with Type 1 diabetes with detailed blood glucose variability and electronic patient record in the context of the continuous glucose monitoring system. https://research.reading.ac.uk/research-blog/a-healthy-partnership/

Supply Chain Innovation and Sustainability – Theme Lead: Dr Kurt Y. Liu and Dr Ajeseun Jimo

In today’s rapidly evolving business landscape, the intersection of innovation and sustainability in supply chain management has become paramount. This research theme explores key areas that drive the development of sustainable practices and innovative solutions within supply chains.

• Artificial Intelligence, Machine Learning and Supply Chain Analytics: The integration of AI and machine learning into supply chain analytics is transforming data processing and decision-making. These technologies enable predictive analytics, allowing organisations to anticipate demand fluctuations, optimise inventory, and enhance logistics operations. By leveraging vast datasets, companies can achieve significant cost savings while improving service delivery and operational efficiency.
• Supply Network Design, Configuration and Digitalisation: Effective supply network design involves strategically configuring resources and processes to maximise efficiency, responsiveness and reduce carbon footprints. Industry 4.0 technologies such as Additive Manufacturing/3D printing are radically changing supply chain designs with distributed manufacturing. Blockchain and IOT are facilitating cross-organisational integration, security and real-time monitoring of supply chains enhancing agility and responsiveness to market changes.
• Sustainable and Circular Supply Chain Management: Emphasising sustainability is essential for minimising environmental impact. Circular supply chain management focuses on resource recovery and recycling, fostering a closed-loop system that reduces waste. This approach not only meets regulatory standards but also enhances brand reputation and customer loyalty by aligning with consumers’ values centred on environmental responsibility.
• Enhancing Supply Chain Resilience: Digital solutions that improve visibility, traceability, and transparency are essential for managing supply chain risks. This proactive approach allows for the rapid identification and mitigation of potential disruptions, ensuring continuity and resilience in operations.

Exemplar projects :

• British Council UK-Germany Springboard Project:“Collaborative Research on Digitalised Closed & Open Loop Supply Chain System for Sustainability and Resilience in key sectors”
• ActiveOps (KTP): https://www.henley.ac.uk/news/2021/funding-awarded-for-operations-management-knowledge-transfer-partnership

User Experience – Theme Leads: Dr Stephen Gulliver and Dr Markos Kyritsis

Within the modern digital age, data and information pervasively surrounds us. Are people even aware of it? Do users’ really benefit from the potential of this information in our lives? User Experience (UX) research within BISA considers how people, businesses, and/or technologies perceive, assimilate, interpret, and use information in the process of knowledge or wealth creation.

Understanding people’s sense making and perception, cognition, motivation, requirements, and/or interaction is critical to understanding user behaviour, predicting future activity, and supporting the development of technology and business solutions that effectively enhance the users’ experience.

Research topics include:

• Human Computer/Interface Interaction
• Performance and cognitive modelling
• Usability / Use experience assessment
• Conflict analysis
• Information Assimilation
• Technology Acceptance

Foundations

The thematic areas are supported by foundations in informatics that includes the following:

Organisational semiotics

Organisational Semiotics, developed by Ronald Stamper in the 1970s, uses the concepts and methods of semiotics to study organisations, and has been applied to information systems over the years. Over the years, IRC has contributed to organisational semiotics through teaching and research, as well as the organisation of conferences, workshops and summer schools.

The latest proceedings of the conference in organisational semiotics:

• Liu, K., Nakata, K., Li, W., Baranauskas (eds) (2018) Digitalisation, innovation, and transformation: 18th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2018, Reading, UK, July 16-18, 2018 (https://link.springer.com/book/10.1007/978-3-319-94541-5)

Enterprise architecture

Enterprise architecture (EA) is a discipline that generates innovative and robust business and IT designs to guide the development of capabilities for enterprise strategy and its execution. EA has become increasingly important in a digitally disruptive world.

Henley Business School has a major expertise in Enterprise Architecture that is widely recognised by corporates, consultancies and collaborating universities. Its leading education programmes are supported by impactful research, most notably an EA collaboration with McKinsey over the last six years. This has resulted in several publications in the Journal of Enterprise Architecture.

Key publication:

• Bossert, O. and Manwani, S. (2021) Enterprise Architecture and Digital Leaders - A Survey Report Based on Research with McKinsey & Company and Henley Business School https://assets.henley.ac.uk/v3/fileUploads/Enterprise-Architecture-and-Digital-Leaders.pdf

Take the Enterprise Architecture and Transformation Skills Survey

AI / Data Science

Artificial intelligence (AI) and data science are among the key technologies that are increasingly being introduced in digital transformation.

Key publications:

• Svenson, P., Haralabopoulos, G., Torres, M. (2020) Sepsis deterioration prediction using channelled long short-term memory networks, International Conference on Artificial Intelligence in Medicine, 359-370.
• Haralabopoulos, G., Anagnostopoulos, I., McAuley, D. (2020) Ensemble deep learning for multilabel binary classification of user-generated content, Algorithms, 13 (4), 83.
• Haralabopoulos, G., Torres, M., Anagnostopoulos, I., McAuley, D. (2021) Text data augmentations: Permutation, antonyms and negation, Expert Systems with Applications, 177, 114769.

Ethical issues in digital transformation

Ethical issues underline any aspects of digital transformation, such as the use of AI.

Key publication:

• Ashok, M., Madan, R., Joha, A. and Sivarajah, U. (2022) Ethical framework for artificial intelligence and digital technologies. International Journal of Information Management, 62. 102433.

Facilities

IRC has a research facility called Digital Technology Unit (DTU). DTU is a creative space for ideation as well as for conducting experiments and user studies.

Director: Professor Keiichi Nakata

Deputy Director: Dr Weizi (Vicky) Li

Honorary Director: Professor Kecheng Liu