Digital Humanities Reduced order modelling of land subsidence Arthur Chai, University of Durham From Modern Tweets to Victorian Broadsheets: Sentiment Analysis Software for Victorian Literature Maddison Willetts, University of Leeds Visualising and exploring contextualized Arts and Humanities collections with their scholarly articles Samuel Waugh, University of Durham Applying new methods for historical spelling normalisation to Early English books online Will Cook, Lancaster University Sustaining computational research in the Humanities Will Roper, University of Manchester Digital Health Improving data standardisation tools for global neuroscience collaboration Ariana Williams, University of Sheffield Gemlib: a Python library for epidemic modelling Ben Hardy, Lancaster University Advancing Predictive Pathway for Maternal Mental Health Recovery: Machine Learning, Model Integration, and Scalable Deployment of Recovery Trajectories. Daniela Sanaicele Perez, University of Newcastle Advancing Statistical and Mathematical Validation for Maternal Mental Health Recovery Pathway: Deep Learning, Evaluation, and Evidence-Based Insights Zain Safdar, University of Newcastle Machine Learning What do Large Language Models actually know? Jenelle Bankas, University of Newcastle Machine-learning gauge-dependent density functionals: a challenge even in a fixed gauge Leo Arnstein, University of York Easing access to high-throughput GPUs for Deep Learning researchers Tom Reece, University of Newcastle AI tools for large-scale text mining PubMed Zichen Yang, University of Liverpool
