Currently browsing: Items authored or edited by Ian Kenny https://orcid.org/0000-0003-2487-803X

Herodotou, Christothea; Kenny, Ian and Scanlon, Eileen (2024). Democratising Research Practices through Community Citizen Science. In: Proceedings of the 2024 International Conference on Information Technology for Social Good, Association for Computing Machinery, New York, NY, USA pp. 68–75.

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Iniesto, Francisco; Coughlan, Tim; Lister, Kate; Devine, Peter; Freear, Nicholas D.; Greenwood, Richard; Holmes, Wayne; Kenny, Ian; McLeod, Kevin and Tudor, Ruth (2023). Creating ‘a simple conversation’: Designing a conversational user interface to improve the experience of accessing support for study. ACM Transactions on Accessible Computing, 16(1), article no. 6.

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Kbaier, Dhouha; Kane, Annemarie; McJury, Mark and Kenny, Ian (2024). Prevalence of Health Misinformation on Social Media—Challenges and Mitigation Before, During, and Beyond the COVID-19 Pandemic: Scoping Literature Review. J Med Internet Res, 26(e38786)

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Kbaier, Dhouha and Kenny, Ian (2024). Exploring the Nexus: Public Attitudes towards Climate Change and their Impact on International Environmental Agreement Compliance. In: Glasgow Science Festival, 1 Jun 2024, Glasgow, Glasgow Science Festival.

Kenny, Ian; Kbaier, Dhouha; Fairchild, Richard and Hinvest, Neal (2024). Navigating Commitments: A Two-Country Game Theoretic Model Assessing Citizen Influence on IEA compliance. In: International Conference on Applied Mathematics and Computer Science (ICAMACS - 2024), 11-12 Mar 2024, Manchester, UK.

Kenny, Ian and Kbaier, Dhouha (2024). Adaptive Machine Learning: Pioneering Climate Modelling for a Sustainable Future. Climate Perspectives, Winter 2023/24.

Kbaier, Dhouha; Kenny, Ian; McJury, Mark and Fairchild, Richard (2024). Charting the Path to Stronger and More Stable International Environmental Agreements: Insights from Mathematical Modelling and Game Theory. In: IEEE/MTS OCEANS 2024, 14-18 Apr 2024, Singapore.

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Kenny, Ian and Kbaier, Dhouha (2022). Rapid Adaptive Climate Change Model: Application of a Probabilistic Centred Approach to the Minas Passage Bay of Fundy datasets. In: OCEANS 2022, Hampton Roads, IEEE.

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Kenny, Ian and Kbaier, Dhouha (2022). A novel environmental system-focused empirical mode decomposition analysis: Application to Minas passage. In: 24th International Conference on Computational Statistics (COMPSTAT 2022), 23-26 Aug 2022, University of Bologna, Italy.

Kenny, Ian (2020). Hydrographical Flow Modelling of the River Severn Using Particle Swarm Optimization. The Computer Journal, 63(11) pp. 1713–1726.

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Kenny, Ian (2016). An Evaluation of Performance Enhancements to Particle Swarm Optimisation on Real-World Data. Doctor of Philosophy (PhD) thesis The Open University.

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Kenny, Ian (2008). Dynamic, hierarchical particle swarm optimisation. Technical Report 2008/09; Department of Computing, The Open University.

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Lister, Kate; Coughlan, Tim; Kenny, Ian; Tudor, Ruth and Iniesto, Francisco (2021). Taylor, The Disability Disclosure Virtual Assistant: A Case Study of Participatory Research with Disabled Students. Education Sciences, 11(10), article no. 587.

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