Research IT

Tag Search Results for Research Software

Found total of 24 items and showing 12 items on page 1 of 2

Manchester Research Software - Lightning Talks

Oct. 22, 2024 10:30 — 12:30

1.219 University Place / online

Registration is open


Join researchers from across the University for lightning talks on a variety of subjects around research software creation and management.



Free Access to GitHub Co-Pilot

lines of code
lines of code
Adrian Harwood,

We have had a number of people ask us about access to GitHub Co-Pilot in recent months and now staff and students at the University can get free access to the tool through GitHub Education. If you aren’t sure what it is, how it can help you or what the risks of using it are, read on.

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Reflections and Futures from Manchester Research Software Community

People sitting in a tiered lecture theatre listening to a person speaking at the front of the room
People sitting in a tiered lecture theatre listening to a person speaking at the front of the room
Aman Goel,

The Spring meeting of the Manchester Research Software Community featured a presentation on GitHub Project Automation as well as breakout groups to discuss the next steps for the group. Aman Goel reflects on what the community has achieved so far and their plans for the future.

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Manchester Research Software Community

May 29, 2024 10:30 — 12:30

Rm 4.38, Simon Building

Registration is NOW CLOSED


After a successful winter meeting, we are excited to announce our spring meeting for the Manchester Research Software Community! The meeting will provide attendees with the opportunity to learn more about the community, learn about "GitHub Project Automation", participate in discussion sessions, as well as network with other community members. We encourage everyone involved with or interested in research software to participate!



Manchester Research Software Community - Inaugural Meeting

Nov. 21, 2023 11:00 — 13:00

G107, Alan Turing Building

Registration is NOW CLOSED


Bringing members of the research community for the inaugural meeting of the Manchester Research Software Community.



Building a Vibrant Research Software Community

Aman Goel,

Aman Goel, Research Software Engineer and Software Sustainability Institute Fellow, outlines plans for creating a research software community bringing together people involved with or interested in research software from across the University.

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Urban / Rural Hay Fever Divide

Flowers
Flowers
Ann Gledson; Douglas Lowe,

Several of our Research Software Engineers are co-authors on a recent Nature Scientific Reports paper which found that people living in urban areas have worse hay fever symptoms than those living in the countryside.

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Got a Short-term Project? We Can Help!

Adrian Harwood,

Did you know that our pool of Research Software Engineers are not just available for long-term, big money projects? Even if you have very little funding or a very small amount of work for us to do, come and speak to us!

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Making Your Code Reproducible and Shareable

Gillian Sinclair; Ann Gledson,

Research Software Engineer Ann Gledson recently gave a training tutorial to research collaboration involving several universities from across England on how to improve their code, the software release process, the use of DOIs and more.

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Introducing Software Citation

Robert Haines,

In August, GitHub announced software citation support in GitHub repositories. Discover how Rob Haines, Head of Research IT, played an instrumental role in making this happen.

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Modelling the COVID-19 Pandemic

Ann Gledson, Peter Crowther,

Research Software Engineers, Peter Crowther and Ann Gledson, have been working with the University Department of Mathematics and the London School of Hygiene and Tropical Medicine on improving their simulation model of contact tracing, which can be used to predict and explain the effectiveness of different strategies in reducing the spread of SARS-CoV-2

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Data Mining Student Engagement Patterns

Ann Gledson,

Back in 2019, two Research Software Engineers (RSEs) were co-authors on a paper which aimed to motivate users to reflect on their search behaviour, and to experiment with different search functionalities. This work has now been extended using data mining.

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