4 10 853 https://urss.warwick.ac.uk/files/original/1869715fe9263f22c6dcdc30f90cc866.pdf f306a4e58fabd21cbc07ff4829d7853f Academic Paper An academic paper Abstract The abstract of the paper In an age of mass political apathy and democratic backsliding, we need a better understanding of what Democracy should be doing for the citizen. This understanding can be used as an ideal which citizens, representatives, and policy makers can use when reconstructing our democracies. This paper works to develop that understanding of what good democracy realises for its citizens. It argues that democracy facilitates authentic authorship, a concept which can assimilate the other major understandings within democratic theory. Meta Tags Meta tags Democracy, Democratic Theory, Existentialism, Sartre, Authorship, Authentic Authorship, Freedom, Politics, Political Theory, Individual, First-Personal. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource But What Does Democracy Do for Me? Subject The topic of the resource Democratic Theory Date A point or period of time associated with an event in the lifecycle of the resource 09/10/2026 Contributor An entity responsible for making contributions to the resource Lorenzo Serini, Fabienne Peter https://urss.warwick.ac.uk/files/original/4fbf17141b7d69f738e808fd228ef686.pdf 1335429794a2b97013586f4731e16284 Academic Paper An academic paper Abstract The abstract of the paper Artificial intelligence has achieved impressive results in traditional board games such as Chess and Go, but modern board games have received less attention. These games can introduce additional challenges, such as random events and a wider range of possible moves, making them useful environments for studying AI behaviour in recreational game-playing contexts. This project examines how different AI approaches perform as they move from a small traditional game to the modern board game Azul, aiming to better understand their behaviours, strengths and limitations. This project combines background research with practical experimentation. Existing literature on game-playing AI informed the development of three Python agents: a search-based approach using Minimax, a simulation-based approach using Monte Carlo Tree Search (MCTS), and a learning-based approach using Tabular Q-Learning (TabQL). Each approach was first implemented for tic-tac-toe and then adapted to the complete two-player game of Azul. The agents were compared through head-to-head simulated matches. In tic-tac-toe matches, every game ended in a draw. In Azul, MCTS won more games than Minimax, while both won every reported match against TabQL. These results suggest that the approaches performed differently under the configurations tested, but the limited number of matches prevents broader conclusions about playing strength. TabQL’s weaker Azul results may reflect the difficulty of learning in a game with many possible states and moves. This research provides a foundation for applying AI techniques to a wider range of modern board games. Future work could investigate other reinforcement-learning methods, explore hybrid approaches, human-interaction studies, and applications in game design and decision-making contexts. Meta Tags Meta tags AI, Artificial Intelligence, Games, Game-Playing, Python, RL Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comparative Study Of Game-Playing AI From Traditional Games To Modern Games Subject The topic of the resource Artificial Intelligence Contributor An entity responsible for making contributions to the resource Mridul Dhall https://urss.warwick.ac.uk/files/original/b53e1c15718effcb40563d5d964acf53.pdf 117de396a62b20aa6453ca8c05500998 Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Contributor An entity responsible for making contributions to the resource Reema Ali and Rania Abdel Rahman https://urss.warwick.ac.uk/files/original/804425bfbda9636001e6afe5f7c28168.pdf 0c84c429d36e5cef9c9b38edc7dccc28 Academic Paper An academic paper Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Subject The topic of the resource Endometriosis Date A point or period of time associated with an event in the lifecycle of the resource 06/10 https://urss.warwick.ac.uk/files/original/a13ca7369d4048584c624abc4e07000f.docx 5437ddb661aa0abfc6285dd7bd4bc190 Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Powerpoint poster - Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Creator An entity primarily responsible for making the resource Reema Ali and Rania Abdel Rahman Subject The topic of the resource Endometriosis https://urss.warwick.ac.uk/files/original/f268c082bdbd560e0f1832b68c03d2f6.pdf 6f68bdc0c8ad605ae1fe1cf192657636 Academic Paper An academic paper Abstract The abstract of the paper Generative AI is usually presented as an autonomous, clean technology whose costs lie in how we consume it or in its energy use. This paper will argue that it is neither autonomous nor green, but an extractive socio-technical system mapped on historical capitalist and colonial foundations, best understood and presented as digital coloniality. Drawing on court records, the Fairwork assessment of Sama, a GDPR reverse-audit conducted with African data workers and peer-reviewed scholarship, this paper will examine how algorithmic management, precarity and psychological harm discipline workers and why participation in AI supply chains, is not equivalent to development. This paper will show workers contesting this system through litigation and data access requests but finds that these tools expose its foundations without dismantling them. It will conclude that said harm must be confronted before it becomes visible. Meta Tags Meta tags artificial intelligence, digital coloniality, data colonialism, data workers, content moderation, Kenya, Nigeria, Meta, Sama, GDPR, algorithmic management, outsourcing, labour rights, technological exceptionalism, global supply chains, Global South, Capitalism, Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Who Pays for Your Prompt? AI, Digital Coloniality and the Workers Who Contest It Subject The topic of the resource AI, digital coloniality and data workers’ labour rights: how generative AI depends on outsourced, low-paid data work in Kenya and Nigeria, and how workers contest it through litigation (Motaung v. Meta/Sama) and a GDPR reverse-audit. Date A point or period of time associated with an event in the lifecycle of the resource October 2026 Contributor An entity responsible for making contributions to the resource Mary-Rose Deyanov (author); supervised by Mouzayian Khalil. https://urss.warwick.ac.uk/files/original/258e198f9008c48af39bf45b8a164794.pdf dcb28fe88ba4735c264541905f1f0a18 Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Taylor-Couette Bioreactor Modelling for Alternative Protein Production Subject The topic of the resource Taylor-Couette Bioreactor Modelling for Alternative Protein Production https://urss.warwick.ac.uk/files/original/79bece4e253bbec5b8b980bcde49cc1c.pdf 3716086e994d8bd37b398664d7f4483e Academic Poster An academic poster Abstract The abstract of the paper Recent work has shown that FPGA accelerators can achieve high performance and energy efficiency for stencil-based solvers using automatic code generation and High-Level Synthesis (HLS). The OPS (Oxford Parallel library for Structured mesh solvers) DSL demonstrates this by analysing iterative stencil loops and generating deeply pipelined FPGA designs with domain-specific optimisations. The current OPS FPGA backend implements these optimisations through a custom code-generation pipeline, but embeds compiler logic directly within the code generator rather than using an explicit intermediate representation. Multi-Level Intermediate Representation (MLIR) provides a more structured approach, allowing programs to be represented and progressively lowered between abstraction levels while making the compiler more maintainable and extensible. This research aims to investigate MLIR-based lowering strategies for OPS stencil applications targeting FPGAs, exploring existing infrastructure and how it could be extended to support a broader range of applications. Meta Tags Meta tags Compilers, Computer Science, FPGAs, Stencil Computations, Domain Specific Language, Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploring MLIR-Based Lowering Paths for OPS Stencil Applications on FPGAs Creator An entity primarily responsible for making the resource Ali Aljeshi Contributor An entity responsible for making contributions to the resource Gihan Mudalige Subject The topic of the resource Compiler Frameworks https://urss.warwick.ac.uk/files/original/38e0fcc1c7468cb7295f03a7bae9b861.ppt 47bdb5f609037bc4602beb16cdf88c3e Academic Poster An academic poster Abstract The abstract of the paper Low-cost spirometers could improve access to lung function testing in settings with limited resources. This study compared the Frugal spirometer with Vitalograph using existing data from patients with asthma in Ghana. Records from 38 patients were reviewed, and 21 had complete, same-day measurements before bronchodilator medication, with Frugal readings passing the recorded software checks. We compared forced vital capacity (FVC), forced expiratory volume in one second (FEV1) and peak expiratory flow (PEF) using Bland–Altman analysis, intraclass correlation coefficients (ICCs) and paired t-tests with Benjamini–Hochberg adjustment. Repeatability was assessed in 15 patients using the coefficient of variation, which expresses variation in repeated readings relative to their mean. FEV1 and PEF showed encouraging agreement, with ICCs of 0.858 and 0.757, respectively. Neither showed a statistically significant mean difference after adjustment (p = 0.271 and p = 0.298). Frugal FVC averaged 0.393 L higher than Vitalograph (adjusted p = 0.014), with 95% limits of agreement from −0.714 to +1.499 L. On average, repeated FVC and FEV1 readings were more consistent with Vitalograph. Differences in the number of repeats and available information on test quality limited this comparison. Vitalograph PEF repeatability data were unavailable. These findings support further development of the Frugal spirometer, with encouraging results for FEV1 and PEF. FVC agreement and repeatability remain priorities for improvement. Non-significant p-values do not establish equivalence, and further validation is needed before the devices can be considered interchangeable. Meta Tags Meta tags spirometry, frugal spirometer, low-cost medical devices, asthma, Ghana, lung function, device validation, measurement agreement, repeatability Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Validation and Benchmarking of a Frugal Spirometer in a Ghanaian Patient Cohort Creator An entity primarily responsible for making the resource Marble Wang Contributor An entity responsible for making contributions to the resource Davide Piaggio (supervisor); Muhammad Farooq Shaikh (supervisor); Charles Hayfron-Benjamin (data collection) Subject The topic of the resource Biomedical engineering; Respiratory medicine; Global health https://urss.warwick.ac.uk/files/original/a4de4e00f6cbf059f03a88054c9e4c15.ppt 2de95b77bd0f1f0de44193abbc4c05c7 Academic Poster An academic poster Abstract The abstract of the paper This project studies the regional disparities in COVID-19 cases, and asks which factors are responsible. The epidemic is modelled using Bayesian statistics with the R-INLA package to investigate spatial and temporal trends in the data. Meta Tags Meta tags Bayesian Statistics, Statistics, Epidemiology Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Bayesian Spatio-Temporal Model of COVID-19 Cases in England Creator An entity primarily responsible for making the resource George Cornish Contributor An entity responsible for making contributions to the resource Dr Samuel Touchard Subject The topic of the resource Statistics