AGENDA
There are 5 sessions throughout the day. Each hour-long session will include presentations, followed by a 10-minute table discussion, and a 10-minute feedback session to the room. * denotes a video presentation.
08.30 - 09:00 Registration with teas, coffees, and pastries
09:00 - 09:10 Welcome & Opening Remarks
09:10 - 09:15 The N8 CIR
09:15 - 10:15 Session 1
- Will Cook, Lancaster University Applying new methods for historical spelling normalisation to Early English Books online.
- Quinn Cuff, The University of York Helping Advance the History of Agriculture through Optimised Ancient DNA Analysis.
- Maddison Willetts, University of Leeds From Modern Tweets to Victorian Broadsheets: Sentiment Analysis Software for Victorian Literature.
- *Samuel Waugh, University of Durham Visualising and Exploring Contextualized Arts and Humanities Collections with their scholarly articles.
10:15 - 11:15 Session 2
- Hamzah Patel, University of Liverpool Developing a Transformer based Molecular Classification model.
- Kiran Pooni, The University of York AI quantum entangled PET - exploring a transformative future for healthcare.
- Zain Safda, Newcastle University Maternal Mental Health Recovery Pathway: Deep Learning, Evaluation, and Evidence-Based Insights.
- Daniela Sanaicela Perez, Newcastle University Maternal Mental Health Recovery Pathway: Machine Learning, Model Integration, and Scalable Deployment of Recovery Trajectories.
11:15 - 11:30 COFFEE BREAK
11:30 - 12:30 Session 3
- Arthur Chai, University of Durham Reduced order modelling of land subsidence.
- Leo Arnstein, The University of York Machine Learning Gauge-dependent Density Functionals: A Challenge even in a Fixed Gauge.
- Zichen Yang, University of Liverpool AI tools for large-scale text mining PubMed.
- *Tom Reece, Newcastle University Ease the access to high-throughput GPUs for Deep Learning researchers.
12:30 - 13:30 LUNCH
13:30 - 14:30 Session 4
- Ariana Williams, Sheffield University Improving data standardisation tools for global neuroscience collaboration.
- Yufei Lu, The University of Manchester Association between modifiable lifestyle factors and onset of multiple long-term conditions, with a view to causality.
- Teleri Stone, Lancaster University Pipeline for fitting thermal responses of mosquito traits.
- *Will Roper, The University of Manchester Sustaining Computational Research in the Humanities.
14:30 - 15:30 Session 5
- *Ben Hardy, Lancaster University Gemlib: a python library for epidemic modelling
- Shreyun Ghosh, Sheffield University PolyChron: FAIR data for past excavation analysis.
- Jenelle Bankas, University of Leeds What do Large Language Models actually know?
15:30 - 15:40 Closing Remarks
15:40 - 15:50 Sam Bland - Your future career as an RSE
15:50 - 16:15 Networking
16:15 END