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There is growing interest in employing computationally intensive research methods in the Humanities and using HPC to expand the possibilities for research.

The N8 CIR has an academic lead for its three key themes at each institution across the N8 partnership. For you to easily find who to contact locally, their names and links to their university research pages are given here.

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.

Introducing the N8 CIR Theme Leads at Lancaster University, research groups, resources, seminars, and events happening locally that may be of interest.

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

Ernest has a deep passion for academic research. He chose a degree in Computer Science because of his interest in developing computing skills to solve major problems, more specifically related to promoting environmental sustainability. His interests lie in AI/ML engineering.

Crystal is a Mathematics and Computer Science student. She enjoys her course and sees a big advantage is the diversity in which you can apply yourself. She personally finds the use and development of libraries for specialised statistical purposes and broader machine learning to be particular areas of interest, and would love to pursue research or applied work in this field.

Elliot has recently graduated with a degree in Spanish Studies and Computing. What he enjoyed most about was that he could be creating an app, discussing the ethics of AI and analysing a Spanish film in one day. This mix of perspectives across different disciplines helped him appreciate the value of approaching problems from multiple points of view.

George is studying for an MSc in Biology because of an interest in genetics. After graduation he hopes to do a PhD in bioinformatics.

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.

Ben Hardy is a 2nd year undegraduate studying computer science at Lancaster University.

Teleri is a Zoology student at Lancaster University.

The support of research software engineers will be vital to ensuring that researchers can maximise the benefits of Bede's unique Power 9 and GPU architecture. This page provides information about how to contact the Bede RSE specialists at your institution.

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

Introducing research projects running on the Bede supercomputer from Lancasater University

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.