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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.

Communities based on our digital health, digital humanities and machine learning research themes are growing. Click on your institution to find further information on the theme leads, research groups, resources, and local events that may be of interest.

A list of Lancaster researchers using the Bede supercomputer in their research.

A list of Leeds researchers using the Bede supercomputer in their research.

A list of Sheffield researchers using the Bede supercomputer in their research.

A list of Newcastle researchers using the Bede supercomputer in their research.

The N8 CIR focusses on the methods, skills, and facilities that underpin the strategic research objectives of the N8 universities.

Bede is used by researchers across the N8. Here you can find descriptions of projects at each institution.

The Bede User Group is an open forum that meets three times per year and is comprised of all users of Bede who wish to join.

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

The N8 CIR is pleased that we can offer internships to allow undergraduate students to develop their computational skills in a research environment

We funded 22 8-week long summer internships to promote computational research to undergraduates across the N8 partnership that align with our three themes: Digital Health, Digital Humanities, and Machine Learning.

Jenelle Bankas is a computer science student at the University of Leeds.

Maddison is studying English Language and Literature at the University of Leeds.

Mysha Zaman is a second-year undergraduate studying for a BSc Computer Science and Artificial Intelligence at the University of Leeds. She has a strong interest in mental health and is keen to better understand the challenges faced by individuals in mental health settings.

Zain gained a first class honours BSs in computer science form Newcastle University in 2025. He worked on the N8 CIR summer Internship during the summer before starting an MSc in artificial intelligence at the University of Edinburgh in September.

Daniela is studying Computer Science, with a year in industry, at Newcastle University.

Samuel graduated with a first class honours degree in Computer Science from the University of Durham. He completed this project following graduation.

Will Cook is a third year undergraduate studying computer science at Lancaster University. He is interested in technology and its practical application in the real world. Will enjoys solving problems in a logical and structured way.

Teleri is a Zoology student at Lancaster University.

We have received funding from EPSRC to support internships and increase interaction with the Bede Supercomputer within the N8 CIR community.

Read case studies from researchers using the Bede supercomputer.

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 Digital Health researchers in furthering their work.

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.

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

Thea shares information on a pilot research project that set out to explore how new generative AI programmes for visual art represent Indigenous peoples and cultures.

Mark and Stephen discuss the Condition and Risk Assessment Portal (CARE) project, which supports the management of open-air rock art, also known as cups and rings, in the UK, Ireland, and beyond.

Susan Fitzmaurice and Seth Mehl share the Linguistic DNA (LDNA) project, which has been exploring textual meaning by identifying lexical, semantic, and pragmatic patterns in over one billion words, across over 60,000 printed English documents from the 16th and 17th centuries.

Kate discusses the Digital Storytelling project, which was led by Newcastle University researcher, Dr Michael Richardson.

Dan and Alex talk about the use of computational modelling in supporting police services.

Below are case studies from women who have been working in HPC across the N8 network.

These case studies offer insight into how RSEs work with researchers to overcome challenges and accelerate discovery.

Mark talks about the research the team at CEMAC is currently working on, which covers a broad range of environmental computational tasks.

Ed discusses the development of the Advanced Research Computing (ARC) group at Durham University.

Read case studies from Research Infrastructure Engineers working in the N8.

This page contains quick-read case studies outlining improvements to research data management practices within the N8 Research Partnership.

Chris discusses how in April 2017, the University of Manchester decided to move from an in-house DMP tool to DMPonline provided by the Digital Curation Centre.

The case studies are from research outside our main research themes or of general interest.

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.

Working with a multi-disciplinary team, Peter's project seeks to set up an agent-based model (ABM) that can reproduce the patterns of progress seen in real-world data.

On Friday 12 September, many of our summer interns came together at The National Centre for Early Music in York to showcase their work.