Satellite Events

This meeting is a valuable opportunity for current and aspiring leaders in research software engineering to connect, share experiences, and shape the future of the field and network. The event will include a series of lightning talks, highlighting projects or initiatives of interest to members of the leaders network. There will also be interactive elements designed to support aspiring leaders in career progression. We encourage those who are considering or preparing for leadership roles to attend - your perspectives and contributions are vital to these discussions. Join us to network, celebrate successes, and explore challenges across institutions.

Back to the Fortran Future 4 (BTTFF4) will build on three previous satellite events, two at RSECon and one at SSI CW26. We bring together members of the national and international Fortran community– developers, software engineers, computational scientists and other stakeholders– to work together to 1) better understand the landscape of the community 2) share good practice and 3) plan activities to support the community.

Is your research code (in Python) slower than you’d like it to be? Do you want to optimise your code performance, but you’re not sure how? This introductory level one-day workshop will show you how to assess where time is being spent during execution of a Python program and introduce good practices for optimising your code. It will also provide a high level overview of how code executes and how this maps to the limiting factors of performance.

The training will be led by Danny Garside, DRA trainer and community manager, who brings experience presenting this material in train-the-trainer contexts with UKRN. The session will also draw on lessons learnt from DRA’s delivery of the OSPARK Bootcamp - a program which equips Open Science advocates with communication and outreach skills.

​​Research Data Science is a growing part of the research-software ecosystem. Many people working in this space sit between traditional research and research software engineering, applying statistics and AI, and building data-driven workflows to answer research questions. Inspired by the growing recognition of RSEs within research, we propose an adjacent initiative to define and recognise the role of Research Data Scientists (RDScis).