Over the last couple of years delivering presentations online has become par for the course, with Covid-19 forcing many people to work from home and events to be delivered remotely. With our work culture changing, online presentations look set to stay, so here are our top tips to help you deliver a strong recording.
Gergana Daskalova reflects on the lessons learned from moving Coding Club sessions online.
The Software Sustainability Institute presented its inaugural Research Software Camp on research accessibility, from Monday 22 February to Friday 5 March 2021. This free online event encompassed live sessions, web resources (such as guides), and social media activities.
The Software Sustainability Institute Event Organisation Guide (SSI-EOG) brings together years of experience of the SSI in organising events. In this guide, you will find different stages of the event organisation process from idea through feasibility, sign off, running your event project and closing down. The work covers in person workshop organisation, giving hints and tips on varied subjects such as venue, catering, budget, agenda, publicity and much more.
With face-to-face training sessions not currently possible, staff from the Software Sustainability Institute have shared their guidance for running online training to help others move their training online.
By Ben Krikler (editor), Shoaib Sufi, Radovan Bast and Jo Leng
The Bayes Centre (University of Edinburgh), with support from the Scottish Funding Council, is offering a programme of free online courses that aim to give the workforce the tools to upskill and reskill in the field of digital data.
By Matthew Bluteau, Research Software Engineer at UKAEA Fusion Laboratory
From 31 March until 2 April 2020, the Software Sustainability Institute hosted the first online edition of Collaborations Workshop, due to the COVID-19 pandemic.
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By Software Sustainability Institute Fellow Matt Williams, University of Bristol. Last Friday we ran the first online-version of our successful software engineering, data analysis and machine learning workshops. Previously, our workshops were three-hour in-person events. Attendees would work at their own speed through self-guided web-based material.