All Outputs (74)

The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework (2021)
Journal Article
Smith, R., Janicke, H., He, Y., Ferra, F., & Albakri, A. (2021). The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework. Computers and Security, 109, Article 102398. https://doi.org/10.1016/j.cose.2021.102398

Cyber incident response within Industrial Control Systems (ICS) is characterised by high levels of uncertainty and unpredictability and requires a multi-disciplined team that encompasses personnel business operations, Operational Technology (OT), IT,... Read More about The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework.

Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement (2021)
Journal Article
Spence, J., Darzentas, D., Cameron, H., Huang, Y., Adams, M., Farr, J. R., …Benford, S. (2022). Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement. Human-Computer Interaction, 37(2), 180-210. https://doi.org/10.1080/07370024.2021.1923496

HCI has recently increased its interest in the domains of museums and gifting. The former is often oriented primarily towards the past, while the latter is often oriented towards the future, in terms of anticipating the receiver’s reactions. Our arti... Read More about Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement.

Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution (2021)
Journal Article
Vaud, S., Pearcy, N., Hanževački, M., Van Hagen, A. M., Abdelrazig, S., Safo, L., …Bryan, S. J. (2021). Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution. Metabolic Engineering, 67, 308-320. https://doi.org/10.1016/j.ymben.2021.07.001

Ethylene is a small hydrocarbon gas widely used in the chemical industry. Annual worldwide production currently exceeds 150 million tons, producing considerable amounts of CO2 contributing to climate change. The need for a sustainable alternative is... Read More about Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution.

Placing AI in the Creative Industries: The Case for Intelligent Music Production (2021)
Book Chapter
McGarry, G., Chamberlain, A., Crabtree, A., & Greenhalgh, C. (2021). Placing AI in the Creative Industries: The Case for Intelligent Music Production. . Springer. https://doi.org/10.1007/978-3-030-78635-9_72

The digital transformation of the recording industry is one of the most well-known in recent times, with the Digital Audio Workstation (DAW) making new methods of music production available to amateurs and professionals in almost any setting beyond t... Read More about Placing AI in the Creative Industries: The Case for Intelligent Music Production.

The Digital Network of Networks: Regulatory Risk and Policy Challenges of Vaccine Passports (2021)
Journal Article
Wilford, S. H., McBride, N., Brooks, L., Eke, D. O., Akintoye, S., Owoseni, A., …Stacey, M. (2021). The Digital Network of Networks: Regulatory Risk and Policy Challenges of Vaccine Passports. European Journal of Risk Regulation, 12(2), 393-403. https://doi.org/10.1017/err.2021.35

The extensive disruption to and digital transformation of travel administration across borders largely due to COVID-19 mean that digital vaccine passports are being developed to resume international travel and kick-start the global economy. Currently... Read More about The Digital Network of Networks: Regulatory Risk and Policy Challenges of Vaccine Passports.

Developing a cyber security culture: Current practices and future needs (2021)
Journal Article
Uchendu, B., Nurse, J. R., Bada, M., & Furnell, S. (2021). Developing a cyber security culture: Current practices and future needs. Computers and Security, 109, Article 102387. https://doi.org/10.1016/j.cose.2021.102387

While the creation of a strong security culture has been researched and discussed for decades, it continues to elude many businesses. Part of the challenge faced is distilling pertinent, recent academic findings and research into useful guidance. In... Read More about Developing a cyber security culture: Current practices and future needs.

Safety Assessment Review of a Dressing Assistance Robot (2021)
Journal Article
Delgado Bellamy, D., Chance, G., Caleb-Solly, P., & Dogramadzi, S. (2021). Safety Assessment Review of a Dressing Assistance Robot. Frontiers in Robotics and AI, 8, Article 667316. https://doi.org/10.3389/frobt.2021.667316

Hazard analysis methods such as HAZOP and STPA have proven to be effective methods for assurance of system safety for years. However, the dimensionality and human factors uncertainty of many assistive robotic applications challenges the capability of... Read More about Safety Assessment Review of a Dressing Assistance Robot.

Metaheuristics “In the Large” (2021)
Journal Article
Swan, J., Adriaensen, S., Johnson, C. G., Kheiri, A., Krawiec, F., Merelo, J. J., …White, D. R. (2022). Metaheuristics “In the Large”. European Journal of Operational Research, 297(2), 393-406. https://doi.org/10.1016/j.ejor.2021.05.042

Following decades of sustained improvement, metaheuristics are one of the great success stories of optimization research. However, in order for research in metaheuristics to avoid fragmentation and a lack of reproducibility, there is a pressing need... Read More about Metaheuristics “In the Large”.

Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images (2021)
Journal Article
Calderon-Ramirez, S., Yang, S., Moemeni, A., Colreavy-Donnelly, S., Elizondo, D. A., Oala, L., …Molina-Cabello, M. A. (2021). Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images. IEEE Access, 9, 85442 - 85454. https://doi.org/10.1109/ACCESS.2021.3085418

In this work we implement a COVID-19 infection detection system based on chest Xray images with uncertainty estimation. Uncertainty estimation is vital for safe usage of computer aided diagnosis tools in medical applications. Model estimations with h... Read More about Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images.

Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS (2021)
Journal Article
Deveci, M., Özcan, E., John, R., Pamucar, D., & Karaman, H. (2021). Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS. Applied Soft Computing, 109, Article 107532. https://doi.org/10.1016/j.asoc.2021.107532

Over the past 20 years, the development of offshore wind farms has become increasingly important across the world. One of the most crucial reasons for that is offshore wind turbines have higher average speeds than those onshore, producing more electr... Read More about Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS.

Playing Games with Tito: Designing Hybrid Museum Experiences for Critical Play (2021)
Journal Article
Løvlie, A. S., Ryding, K., Spence, J., Rajkowska, P., Waern, A., Wray, T., …Clare-Thorn, E. (2021). Playing Games with Tito: Designing Hybrid Museum Experiences for Critical Play. Journal on Computing and Cultural Heritage, 14(2), 1-26. https://doi.org/10.1145/3446620

This article brings together two distinct, but related perspectives on playful museum experiences: Critical play and hybrid design. The article explores the challenges involved in combining these two perspectives, through the design of two hybrid mus... Read More about Playing Games with Tito: Designing Hybrid Museum Experiences for Critical Play.

From Responsible Research and Innovation to responsibility by design (2021)
Journal Article
Stahl, B. C., Akintoye, S., Bitsch, L., Bringedal, B., Eke, D., Farisco, M., …Ulnicane, I. (2021). From Responsible Research and Innovation to responsibility by design. Journal of Responsible Innovation, 8(2), 175-198. https://doi.org/10.1080/23299460.2021.1955613

Drawing on more than eight years working to implement Responsible Research and Innovation (RRI) in the Human Brain Project, a large EU-funded research project that brings together neuroscience, computing, social sciences, and the humanities, and one... Read More about From Responsible Research and Innovation to responsibility by design.

Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019 (2021)
Journal Article
Ali, K. M., Ali, A. M., Tawfeeq, H. M., Figueredo, G. P., & Rostam, H. M. (2021). Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019. Journal of Medical Virology, 93(7), 4532-4536. https://doi.org/10.1002/jmv.27002

Coronavirus disease 2019 (COVID-19) is caused by a contagious virus that has spread to more than 200 countries, territories, and regions. Thousands of studies to date have examined all aspects of this disease, yet little is known about the postrecove... Read More about Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019.

Multi-Objective Feature Selection With Missing Data in Classification (2021)
Journal Article
Xue, Y., Tang, Y., Xu, X., Liang, J., & Neri, F. (2022). Multi-Objective Feature Selection With Missing Data in Classification. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(2), 355-364. https://doi.org/10.1109/TETCI.2021.3074147

Feature selection (FS) is an important research topic in machine learning. Usually, FS is modelled as a bi-objective optimization problem whose objectives are: 1) classification accuracy; 2) number of features. One of the main issues in real-world ap... Read More about Multi-Objective Feature Selection With Missing Data in Classification.

Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface (2021)
Journal Article
Ranjbari, M., Shams Esfandabadi, Z., Scagnelli, S. D., Siebers, P.-O., & Quatraro, F. (2021). Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface. Environment, Development and Sustainability, 23, 16646-16673. https://doi.org/10.1007/s10668-021-01372-6

As a response to the urgent call for recovery actions against the COVID-19 crisis, this research aims to identify action priority areas post COVID-19 toward achieving the targets of the sustainable development goals (SDGs) within the 2030 Agenda for... Read More about Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface.

Realising a Push Button Modality for Video-Based Forensics (2021)
Journal Article
Zawali, B., Ikuesan, R. A., Kebande, V. R., Furnell, S., & A-Dhaqm, A. (2021). Realising a Push Button Modality for Video-Based Forensics. Infrastructures, 6(4), Article 54. https://doi.org/10.3390/infrastructures6040054

Complexity and sophistication among multimedia-based tools have made it easy for perpetrators to conduct digital crimes such as counterfeiting, modification, and alteration without being detected. It may not be easy to verify the integrity of video c... Read More about Realising a Push Button Modality for Video-Based Forensics.

Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study (2021)
Preprint / Working Paper
Dowthwaite, L., Fischer, J., Perez Vallejos, E., Portillo, V., Nichele, E., Goulden, M., & McAuley, D. Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study

Background:
Digital contact tracing is employed to monitor and manage the spread of COVID-19. However, to be effective the system must be adopted by a substantial proportion of the population. Studies of mostly hypothetical contact tracing apps show... Read More about Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study.

Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies (2021)
Book
Stahl, B. C. (2021). Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies. Springer Publishing Company. https://doi.org/10.1007/978-3-030-69978-9

Offers a novel conceptualisation of the AI ethics debate by applying the discourse of innovation ecosystems to AI

Practice-oriented with an aim to give stakeholders and decisions makers conceptually sound and empirically rich ways of dealing with... Read More about Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies.

Response To The Competition And Markets Authority Call For Information: Algorithms, Competition and Consumer Harm (2021)
Other
McAuley, D., Norman, T., Cartwright, P., Hyde, R., Perez Vallejos, E., Gerding, E., …Chen, J. Response To The Competition And Markets Authority Call For Information: Algorithms, Competition and Consumer Harm

Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures (2021)
Journal Article
Ong, Z. X., Dowthwaite, L., Vallejos, E. P., & Long, Y. (2021). Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures. Frontiers in Psychology, 12, Article 616637. https://doi.org/10.3389/fpsyg.2021.616637

With the increasing importance of the internet to our everyday lives, questions are rightly being asked about how its’ use affects our wellbeing. It is important to be able to effectively measure the effects of the online context as it allows us to a... Read More about Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures.