All Outputs (899)

AI and the Iterable Epistopics of Risk (2024)
Journal Article
Crabtree, A., McGarry, G., & Urquhart, L. (in press). AI and the Iterable Epistopics of Risk. AI & Society,

The risks AI presents to society are broadly understood to be manageable through 'general calculus', i.e., general frameworks designed to enable those involved in the development of AI to apprehend and manage risk, such as AI impact assessments, ethi... Read More about AI and the Iterable Epistopics of Risk.

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra (2024)
Journal Article
Kok, Y. E., Crisford, A., Parkes, A., Venkateswaran, S., Oreffo, R., Mahajan, S., & Pound, M. (2024). Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra. Scientific Reports, 14(1), Article 15902. https://doi.org/10.1038/s41598-024-66857-6

Raman spectroscopy is a rapid method for analysing the molecular composition of biological material. However, noise contamination in the spectral data necessitates careful pre-processing prior to analysis. Here we propose an end-to-end Convolutional... Read More about Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra.

Beyond Trees: Calculating Graph-Based Compilers (2024)
Journal Article
Bahr, P., & Hutton, G. (in press). Beyond Trees: Calculating Graph-Based Compilers. Proceedings of the ACM on Programming Languages,

Bahr and Hutton recently developed an approach to compiler calculation that allows a wide range of compilers to be derived from specifications of their correctness. However, a limitation of the approach is that it results in compilers that produce tr... Read More about Beyond Trees: Calculating Graph-Based Compilers.

From Corporate Digital Responsibility to Responsible Digital Ecosystems (2024)
Journal Article
Stahl, B. C. (2024). From Corporate Digital Responsibility to Responsible Digital Ecosystems. Sustainability, 16(12), Article 4972. https://doi.org/10.3390/su16124972

The significant and rapidly growing impact that digital technologies has on all aspects of our lives has raised awareness of benefits but also concerns and worries linked to the development and use of these technologies. The concept of responsibility... Read More about From Corporate Digital Responsibility to Responsible Digital Ecosystems.

CUDA-based parallel local search for the set-union knapsack problem (2024)
Journal Article
Sonuç, E., & Özcan, E. (2024). CUDA-based parallel local search for the set-union knapsack problem. Knowledge-Based Systems, 299, Article 112095. https://doi.org/10.1016/j.knosys.2024.112095

The Set-Union Knapsack Problem (SUKP) is a complex combinatorial optimisation problem with applications in resource allocation, portfolio selection, and logistics. This paper presents a parallel local search algorithm for solving SU... Read More about CUDA-based parallel local search for the set-union knapsack problem.

Bridging the gap from medical to psychological safety assessment: consensus study in a digital mental health context (2024)
Journal Article
Taher, R., Bhanushali, P., Allan, S., Alvarez-Jimenez, M., Bolton, H., Dennison, L., …Yiend, J. (2024). Bridging the gap from medical to psychological safety assessment: consensus study in a digital mental health context. BJPsych Open, 10(4), Article e126. https://doi.org/10.1192/bjo.2024.713

Background Digital Mental Health Interventions (DMHIs) that meet the definition of a medical device are regulated by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK. The MHRA uses procedures that were originally developed fo... Read More about Bridging the gap from medical to psychological safety assessment: consensus study in a digital mental health context.

Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance (2024)
Journal Article
Wakunuma, K., & Eke, D. (2024). Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance. Philosophies, 9(3), Article 80. https://doi.org/10.3390/philosophies9030080

This paper examines the impact and implications of ChatGPT and other generative AI technologies within the African context while looking at the ethical benefits and concerns that are particularly pertinent to the continent. Through a robust analysis... Read More about Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance.

“The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter (2024)
Journal Article
Heaton, D., Clos, J., Nichele, E., & Fischer, J. E. (2024). “The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter. Personal and Ubiquitous Computing, https://doi.org/10.1007/s00779-024-01811-x

ChatGPT, a sophisticated chatbot system by OpenAI, gained significant attention and adoption in 2022 and 2023. By generating human-like conversations, it attracted over 100 million monthly users; however, there are concerns about the social impact of... Read More about “The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter.

Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance (2024)
Journal Article
Ochang, P., Eke, D., & Stahl, B. C. (2024). Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance. Neuroethics, 17(2), Article 23. https://doi.org/10.1007/s12152-024-09558-1

Advances in neuroscience and other disciplines are producing large-scale brain data consisting of datasets from multiple organisms, disciplines, and jurisdictions in different formats. However, due to the lack of an international data governance fram... Read More about Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance.

How Personal Value Orientations Influence Behaviors in Digital Citizen Science (2024)
Journal Article
Jeong, E., Jackson, C., Dowthwaite, L., Johnson, C., & Trouille, L. (2024). How Personal Value Orientations Influence Behaviors in Digital Citizen Science. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1-25. https://doi.org/10.1145/3637341

While much research has examined motivations for contributing to citizen science projects, few studies have considered the role of personal values in directing citizen scientists' interactions and contribution patterns. We investigated whether person... Read More about How Personal Value Orientations Influence Behaviors in Digital Citizen Science.

Constructing selection hyper-heuristics for open vehicle routing with time delay neural networks using multiple experts (2024)
Journal Article
Tyasnurita, R., Özcan, E., Drake, J. H., & Asta, S. (2024). Constructing selection hyper-heuristics for open vehicle routing with time delay neural networks using multiple experts. Knowledge-Based Systems, 295, Article 111731. https://doi.org/10.1016/j.knosys.2024.111731

Hyper-heuristics are general purpose search methods for solving computationally difficult problems. A selection hyper-heuristic is composed of two key components: a heuristic selection method and move acceptance criterion. Under an iterative single-p... Read More about Constructing selection hyper-heuristics for open vehicle routing with time delay neural networks using multiple experts.

Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network (2024)
Journal Article
Zhang, X., Huang, B., Chen, G., Ge, L., Radenkovic, M., & Hou, G. (2024). Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4205214. https://doi.org/10.1109/tgrs.2024.3388040

Efficient eddy trajectory prediction driven by multiinformation fusion can facilitate the scientific research of oceanography, while the complicated dynamics mechanism makes this issue challenging. Benefiting from ocean observing technology, the eddy... Read More about Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network.

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024)
Journal Article
Hayashi, S., Caron, B. A., Heinsfeld, A. S., Vinci-Booher, S., McPherson, B., Bullock, D. N., …Pestilli, F. (2024). brainlife.io: a decentralized and open-source cloud platform to support neuroscience research. Nature Methods, 21, 809-813. https://doi.org/10.1038/s41592-024-02237-2

Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was develop... Read More about brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.

Improving immersive consumption contexts using virtual & mixed reality (2024)
Journal Article
Barker, I., Yang, Q., Flintham, M., Ankeny, R., & Ford, R. (2024). Improving immersive consumption contexts using virtual & mixed reality. Science Talks, 10, Article 100346. https://doi.org/10.1016/j.sctalk.2024.100346

Immersive technologies, such as Virtual Reality (VR), provide a great opportunity to create relevant contexts in consumer studies. However, challenges persist in consuming food and drink during immersion and ensuring effective data collection. This s... Read More about Improving immersive consumption contexts using virtual & mixed reality.

Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK (2024)
Journal Article
Khan, K., Hall, C. L., Babbage, C., Dodzo, S., Greenhalgh, C., Lucassen, M., …Hollis, C. (2024). Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK. Pilot and Feasibility Studies, 10(1), Article 53. https://doi.org/10.1186/s40814-024-01475-7

Background : A serious game called SPARX (Smart, Positive, Active, Realistic, X-factor thoughts), originally developed in New Zealand and incorporating cognitive behavioural therapy (CBT) principles, has been shown to help reduce symptoms of depressi... Read More about Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK.

Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks (2024)
Journal Article
Chen, X., Bai, R., Qu, R., Dong, J., & Jin, Y. (2024). Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks. IEEE Transactions on Evolutionary Computation, https://doi.org/10.1109/tevc.2024.3381042

Efficient truck dispatching is crucial for optimizing container terminal operations within dynamic and complex scenarios. Despite good progress being made recently with more advanced uncertainty-handling techniques, existing approaches still have gen... Read More about Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks.

Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies (2024)
Journal Article
Eke, D., & Stahl, B. (2024). Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies. Digital Society, 3(1), Article 11. https://doi.org/10.1007/s44206-024-00101-6

Addressing ethical concerns is among the fundamental motivations for the development of policies and regulations for data and digital technologies. In the last few years, the European Commission has issued a number of policies, regulations and legisl... Read More about Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies.

A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem (2024)
Journal Article
Lin, B., Li, J., Cui, T., Jin, H., Bai, R., Qu, R., & Garibaldi, J. (2024). A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem. Expert Systems with Applications, 249, Article 123515. https://doi.org/10.1016/j.eswa.2024.123515

The online bin packing problem is a well-known optimization challenge that finds application in a wide range of real-world scenarios. In the paper, we propose a novel algorithm called FuzzyPatternPack(FPP), which leverages fuzzy inference and pattern... Read More about A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem.

Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study (2024)
Journal Article
Ali, Y., Rennick-Egglestone, S., Llewellyn-Beardsley, J., Ng, F., Yeo, C., Franklin, D., …Slade, M. (2024). Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study. Frontiers in Digital Health, 6, Article 1297935. https://doi.org/10.3389/fdgth.2024.1297935

Introduction Mental health recovery narratives are widely available to the public, and can benefit people affected by mental health problems. The NEON Intervention is a novel web-based digital health intervention providing access to the NEON Colle... Read More about Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study.