Research Software Forum (Theme: Machine Learning)

Wednesday 2 November 2022, 12:00pm to 2:00pm


SkyLounge (Top floor, InfoLab21)

Open to

Postgraduates, Staff


Free to attend - registration required

Event Details

Have you ever wondered if you're missing out on software techniques that could make your research more effective? or perhaps you have a research computing technique you'd like to share? If so, then why not come and participate in a new series of Research Software Forums?

The RSFs will bring researchers together to share ideas and software tools. We will have 2 RSFs per term, with the first Wednesday Week 4 (2/11/22) and the next will be Wednesday Week 9 (7/12/22); Each will focus on a specific theme for the talks. These forums are primarily aimed at PhD students and Researchers, but anybody from the University is warmly invited to attend.

We are kicking off the first RSF with a Machine learning theme. The idea is that there will be a short(10-minute opening talk), and then a series of 3-minute lightning talks from researchers on just about anything related to the main theme and research computing and software. The opening talk for this event will be given by Chris Nemeth who will be talking about the new N8 Machine Learning theme.

Lightning Talks could be:

  • Informative: How you use the software as part of your research
  • Advocacy: Telling others about a particular piece of software/tool you find useful for your research
  • Sharing your computational workflow for your research.
  • Requests: Perhaps you need help or advice on a software solution to a problem in your research

These are some of the suggestions, but if it is related to the theme and software/computational research it is welcome.

After the talks, we will have a few slices of pizza and discuss topics that have come up in the talks and generally have a chance to meet people and network/support each other.

Some food will be provided, so please sign up and indicate if you would like to give a talk. If you have any queries, please email us at

Contact Details

Name Robin Long