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N8 CIR runs training and community events and provides resources for N8 researchers within three key themes: Digital Health, Digital Humanities, and Machine Learning.

Machine Learning sits at the heart of a large number of modern data processing models and the N8 CIR is building a community of researchers to share experiences and methodologies.

Links to resources from events, training, and seminar series run by the N8 CIR for our key research themes and research support are provided here.

Across four dates in June 2021 Michael Falk, then based at the University of Kent, ran four separate workshops exploring Machine Learning in the Humanities.

Links to videos and resources from a series of workshops organised by N8 CIR exploring ethics in computational research.

This page contains resources from Leah Henrickson's introduction to R for text analysis, including links to sample texts and the workshop slides.

A collection of resources provided for the N8 CIR Machine Learning community from workshops and meetings.

This five-week workshop series was held at the University of York in April and May, 2025. It introduces participants to PyTorch and its applications in deep learning. Designed for researchers and students interested in machine learning, the sessions provide hands-on experience with neural networks, from basic tensor operations to training custom models on real-world data.

Here the N8 CIR brings together links to online training and resources that people may find useful to access for self-managed learning.

These case studies describe work done by our N8 Researchers and how they have benefitted from collaboration and working with the centre. We have categories for all our research and cross-cutting themes.

Paul talks about FLAME GPU 2, a development of the original open-source FLAME GPU software for agent-based modelling in complex systems.

Marta discusses her use of GASCANS, the GPU version of the open-source Lattice Boltzmann method (LBM) code LUMA, to model turbulent air flows around a building.

Find out more about how the N8 CIR has helped Machine Learning researchers in furthering their work.

Pete's group is co-designing an affordable, robust, and open-source system for improved air quality management in West Africa.

Mark talks about his team's work in developing innovative methods of single-molecule biophysics to address a range of complex biological questions, specifically the development of PySTACHIO.