Software Carpentry Workshop Philip Fowler, 10th September 201810th September 2018 Last week on Thursday and Friday I helped run a Software Carpentry workshop in the Department of Experimental Psychology at the University of Oxford. This was organised by Research Reproducible Oxford (RROxford), a project of which I am member that aims to lay the groundwork for a culture of research reproducibility at the University. Historically, Software (and Data) Carpentry workshops run at Oxford University have required at least one, if not two, external instructors. One key aim of RROxford is therefore to make the Software and Data Carpentry workshops at the University self-sustainable in terms of instructors. This workshop demonstrated that the project is bearing fruit, since we managed to fill all the instructor slots with people who started out as learners, then became helpers and finally trained as instructors, all within the University. (It also meant I could sit at the back and eat donuts). Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related computing skills software carpentry teaching
antimicrobial resistance GPAS 17th May 202113th October 2021 I’ve been working on this for the last few months and very happy that we… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
New paper: Evaluating 12 WGS analysis pipelines for MBTC 21st October 202529th October 2025 Ruan Spies did a careful systematic analysis of the publicly-available pipelines that claimed to process… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: a deep learning model that reads MICs from images of 96 well plates 26th May 20251st July 2025 Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More