Using the five safes to structure economic evaluations of data governance (2024)
Journal Article
Ritchie, F., & Whittard, D. (2024). Using the five safes to structure economic evaluations of data governance. Data & Policy, 6, Article e16

As the world has become more digitally-dependent, questions of data governance such as ethics, institutional arrangements and statistical protection measures have increased in significance. Understanding the economic contribution of investments in da... Read More about Using the five safes to structure economic evaluations of data governance.

A meta-model for understanding ‘green-red loop’ social-water interactions at a global scale (2024)
Journal Article
Liu, L., Chun, K., & Mijic, A. (in press). A meta-model for understanding ‘green-red loop’ social-water interactions at a global scale. Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2024.143064

Within the coupled human and natural systems (CHANS), social-water interactions exhibit the ‘green-loop’ and ‘red-loop’ patterns, where social development is dependent on the local and external environment for resource provision, respectively. Sustai... Read More about A meta-model for understanding ‘green-red loop’ social-water interactions at a global scale.

Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies (2024)
Journal Article
Phillips, N., Weerasekera, R., Roberts, N., Gandia, A., & Adamatzky, A. (in press). Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies. Fungal Ecology, Article 101358. https://doi.org/10.1016/j.funeco.2024.101358

Mycelium-bound composites are normally made of discrete lignocellulosic substrate elements bound together by filamentous fungal hyphae. They can be formed into bespoke components of desired geometries by moulding or extrusion. Mycelium-bound composit... Read More about Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies.

Literature review: Industry 5.0. Leveraging technologies for environmental, social and governance advancement in corporate settings (2024)
Journal Article
Rehman, A., & Umar, T. (in press). Literature review: Industry 5.0. Leveraging technologies for environmental, social and governance advancement in corporate settings. Corporate Governance, 1-23. https://doi.org/10.1108/CG-11-2023-0502

Purpose This research paper explores the transformative potential of Industry 5.0 for environmental, social and governance (ESG) factors within corporate settings. This study aims to elucidate the role of Industry 5.0 and its related technologies in... Read More about Literature review: Industry 5.0. Leveraging technologies for environmental, social and governance advancement in corporate settings.

Theorising non-bank financial intermediation (2024)
Journal Article
Michell, J. (2024). Theorising non-bank financial intermediation. Review of Keynesian Economics, 12(2), 181-196. https://doi.org/10.4337/roke.2024.02.04

The expansion of non-bank financial intermediation (NBFI) presents a challenge for monetary theories which emphasise the macroeconomic significance of commercial bank lending. The heterodox literature which has emerged since the 2008 crisis falls rou... Read More about Theorising non-bank financial intermediation.

Towards developing a predictive model for interpersonal communication quality in construction projects: An ensemble artificial intelligence-based approach (2024)
Journal Article
Rahimian, A., Sadeghzadeh, K., Mohandes, S. R., Martek, I., Manu, P., Antwi-Afari, M. F., …Javid, A. A. S. (in press). Towards developing a predictive model for interpersonal communication quality in construction projects: An ensemble artificial intelligence-based approach. Engineering, Construction and Architectural Management, https://doi.org/10.1108/ECAM-09-2023-0958

High-quality communication among stakeholders is salient to securing and maintaining collaboration in construction projects. Indeed, the absence of such communication among the workforce leads to inefficiency, low productivity, and substandard delive... Read More about Towards developing a predictive model for interpersonal communication quality in construction projects: An ensemble artificial intelligence-based approach.

Designing, implementing and testing an intervention of affective intelligent agents in nursing virtual reality teaching simulations - A qualitative study (2024)
Journal Article
Loizou, M., Arnab, S., Lameras, P., Hartley, T., Loizides, F., Kumar, P., & Sumilo, D. (2024). Designing, implementing and testing an intervention of affective intelligent agents in nursing virtual reality teaching simulations - A qualitative study. Frontiers in Digital Health, 6, Article 1307817. https://doi.org/10.3389/fdgth.2024.1307817

Emotions play an important role in human-computer interaction, but there is limited research on affective and emotional virtual agent design in the area of teaching simulations for healthcare provision. The purpose of this work is twofold: firstly, t... Read More about Designing, implementing and testing an intervention of affective intelligent agents in nursing virtual reality teaching simulations - A qualitative study.

Spatial heterogeneity in the response of winter wheat yield to meteorological dryness/wetness variations in Henan province, China (2024)
Journal Article
Li, C., Gu, Y., Xu, H., Huang, J., Liu, B., Chun, K., & Octavianti, T. (2024). Spatial heterogeneity in the response of winter wheat yield to meteorological dryness/wetness variations in Henan province, China. Agronomy, 14(4), 817. https://doi.org/10.3390/agronomy14040817

Knowledge of the responses of winter wheat yield to meteorological dryness/wetness variations is crucial for reducing yield losses in Henan province, China’s largest winter wheat production region, under the background of climate change. Data on clim... Read More about Spatial heterogeneity in the response of winter wheat yield to meteorological dryness/wetness variations in Henan province, China.

Laser additive manufacturing of TiB2-modified Cu15Ni8Sn/GH3230 heterogeneous materials: Processability, interfacial microstructure and mechanical performance (2024)
Journal Article
Gao, J., Han, Q., Soe, S., Wang, L., Zhang, Z., Zhang, H., …Yang, S. (2024). Laser additive manufacturing of TiB2-modified Cu15Ni8Sn/GH3230 heterogeneous materials: Processability, interfacial microstructure and mechanical performance. Materials Science and Engineering: A, 900, Article 146496. https://doi.org/10.1016/j.msea.2024.146496

Cu/Ni heterogeneous materials integrate excellent thermal conductivity and high-temperature mechanical properties, enabling them to be widely used in the aerospace domain. Differences in the thermal and physical properties of the Cu and Ni materials,... Read More about Laser additive manufacturing of TiB2-modified Cu15Ni8Sn/GH3230 heterogeneous materials: Processability, interfacial microstructure and mechanical performance.

Effectiveness of a novel digital patient education programme to support self-management of early rheumatoid arthritis: A randomised controlled trial (2024)
Journal Article
Knudsen, L. R., Ndosi, M., Hauge, E., Lomborg, K., Dreyer, L., Aaboe, S., …de Thurah, A. (in press). Effectiveness of a novel digital patient education programme to support self-management of early rheumatoid arthritis: A randomised controlled trial. Rheumatology, https://doi.org/10.1093/rheumatology/keae177

Objectives To evaluate the effectiveness of a novel digital patient education (PE) programme in improving self-management in patients newly diagnosed with rheumatoid arthritis (RA). Methods This was a parallel, open-label, two arms, randomised contro... Read More about Effectiveness of a novel digital patient education programme to support self-management of early rheumatoid arthritis: A randomised controlled trial.

The inadvertently revealing statistic: A systemic gap in statistical training? (2024)
Journal Article
Derrick, B., Green, E., Ritchie, F., Smith, J., & White, P. (2024). The inadvertently revealing statistic: A systemic gap in statistical training?. Significance, 21(1), 24-27. https://doi.org/10.1093/jrssig/qmae009

While concerns around data privacy are well-known, there's a lack of awareness and training when it comes to the confidentiality risk of published statistics, argue Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Smith, Paul White

CORE Econ: A neoclassical synthesis for the twenty-first century? (2023)
Journal Article
Michell, J. (2023). CORE Econ: A neoclassical synthesis for the twenty-first century?. Advances in Economics Education, 2(2), 145–162

This paper provides a critical review of CORE Econ’s The Economy and associated materials. It argues that there is a need for reworked economics textbooks and that CORE Econ’s approach to this project – to replace mathematical abstractions with relev... Read More about CORE Econ: A neoclassical synthesis for the twenty-first century?.

Machine learning models in trusted research environments - Understanding operational risks (2023)
Journal Article
Ritchie, F., Tilbrook, A., Cole, C., Jefferson, E., Krueger, S., Mansouri-Benssassi, E., …Smith, J. (2023). Machine learning models in trusted research environments - Understanding operational risks. International Journal of Population Data Science, 8(1), Article 2165. https://doi.org/10.23889/ijpds.v8i1.2165

IntroductionTrusted research environments (TREs) provide secure access to very sensitive data for research. All TREs operate manual checks on outputs to ensure there is no residual disclosure risk. Machine learning (ML) models require very large amou... Read More about Machine learning models in trusted research environments - Understanding operational risks.

An iterative numerical approach to evaluate the variable friction coefficient of steel AMS5643 using ring compression tests (2023)
Journal Article
Hatherell, J., Marmier, A., Dennis, G., Curry, W., Denis, G., & Matthews, J. (2024). An iterative numerical approach to evaluate the variable friction coefficient of steel AMS5643 using ring compression tests. Tribology Transactions, 67(1), 15-21. https://doi.org/10.1080/10402004.2023.2284347

The coefficient of friction is an important variable that must be defined to allow the accurate prediction of the forming geometry and stresses involved in metal forming processes. Literature reports have shown that the coefficient of friction does n... Read More about An iterative numerical approach to evaluate the variable friction coefficient of steel AMS5643 using ring compression tests.

The present and future of the Five Safes framework (2023)
Journal Article
Green, E., & Ritchie, F. (2023). The present and future of the Five Safes framework. Journal of Privacy and Confidentiality, 13(2), https://doi.org/10.29012/jpc.831

The Five Safes has become the default framework for confidential data governance across multiple sectors and countries. Since its inception in 2003, the approach has influenced data management in many ways, particularly in the public sector. As it ha... Read More about The present and future of the Five Safes framework.

A methodology to support robotic polishing of moulds integrated with CAD/CAM (2023)
Journal Article
Wang, K., Ding, L., Dailami, F., & Matthews, J. (in press). A methodology to support robotic polishing of moulds integrated with CAD/CAM. Journal of Advanced Manufacturing Systems, https://doi.org/10.1142/S021968672450015X

Typically, the final process in the manufacture of molds is mechanical polishing, a process predominantly conducted manually. This is an important process step to improve the surface quality of the mold without affecting the geometry of the cavity. C... Read More about A methodology to support robotic polishing of moulds integrated with CAD/CAM.

Multi-agent learning of asset maintenance plans through localised subnetworks (2023)
Journal Article
Pérez Hernández, M., Puchkova, A., & Parlikad, A. K. (2024). Multi-agent learning of asset maintenance plans through localised subnetworks. Engineering Applications of Artificial Intelligence, 127(Part B), Article 107362. https://doi.org/10.1016/j.engappai.2023.107362

Maintenance planning of networked multi-asset systems is a complex problem due to the inherent individual and collective asset constraints and dynamics as well as the size of the system and interdependencies among assets. Although multi-asset systems... Read More about Multi-agent learning of asset maintenance plans through localised subnetworks.

Digital storytelling: A relational pedagogic approach to rebuilding hybrid places for creativity, equity and community building in a crisis (2023)
Journal Article
Parker Moon, Z., Palmerini, P., Drayton, J., Noon, R., Gibson, K., Gold, L., & Ochu, E. (2023). Digital storytelling: A relational pedagogic approach to rebuilding hybrid places for creativity, equity and community building in a crisis. Advances in Online Education: A Peer-Reviewed Journal, 2(1), 1-18

The COVID-19 pandemic impacted human flourishing worldwide as in-person teaching and learning provision within universities and schools rapidly shifted online. This exposed challenges as staff and students worked from home. Digital competences in onl... Read More about Digital storytelling: A relational pedagogic approach to rebuilding hybrid places for creativity, equity and community building in a crisis.

A review of the performance of CHIRPS and future research directions in hydro-climatic studies (2023)
Journal Article
Du, H., Tan, M. L., Zhang, F., Chun, K., Li, L., & Humayun Kabir, M. (in press). A review of the performance of CHIRPS and future research directions in hydro-climatic studies. Theoretical and Applied Climatology,

Long-term gridded precipitation products (GPPs) are crucial for climatology and hydrological research to overcome the limitations of gauge observations. Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) provides long-term daily... Read More about A review of the performance of CHIRPS and future research directions in hydro-climatic studies.

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic (2023)
Journal Article
Balasubramanian, S., Shukla, V., Islam, N., Upadhyay, A., & Duong, L. (in press). Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic. International Journal of Production Research, https://doi.org/10.1080/00207543.2023.2263102

The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and highlighted the need for innovative, technology-driven solutions like Artificial Intelligence (AI). However, previous research on the topic has been limited and fragmented... Read More about Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic.