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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.

We help advance medical research by facilitating the use of HPC resources and building connections between medical and technical domains via networking events and training workshops.

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.

A collection of resources provided for the N8 CIR Digital Health community from workshops and meetings.

This page contains links to resources used as part of the recent HPC for Healthcare facilitated by Will Furnass and Mark Dunning of the University of Sheffield.

Real-time social media data from platforms such as Twitter are a fantastic source of data - never has an individual been able to access historic opinions and watch them develop over time so trivially.

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

In June 2021 N8 CIR organised and hosted a series of seminars highlighting how researchers accessed and utilised UK Biobank data in their research.

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.

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

Julie discusses an interdisciplinary project that characterises cells based on their morphology and movement monitored by time-lapse imaging.

Elizabeth discusses her work, which is a joint project between the University of York and Croda Europe Ltd.

Chris discusses GEM (Generalised Epidemic Modelling), a domain-specific modelling language for epidemics.

Helena talks about her work with Respire, a dashboard that captures, aggregates, and visualises healthcare data.

Richard discusses GetSet, a web app that enables researchers to construct sets of clinical codes from health databases for research.

Peter-John discusses SAVSNET, which collects veterinary clinical notes and questionnaire data from 15% of UK veterinary practices, alongside veterinary laboratory test results from the larger UK clinical laboratories, accounting for around 60% of all UK veterinary lab submissions.

Fiona Menger and Becky Osselton discuss the development of DAAWN (Digitised Assessment for Aphasia of Written Naming), which is being used for people with aphasia.

Digital Health and Digital Humanities will be the main focus of N8 CIR over the coming year.

Thank you to everyone who came along to the Research Theme meetings for Digital Health and Digital Humanities or who provided feedback directly to their institutional Theme Leads.