I was recently asked to give a talk on Introducing Python for the Reproducible, Interpretable, Open, Transparent Science club (RIOTS). This gave me a chance to go back to an earlier lecture given at the Digital Humanities Oxford Summer School and to refresh the material. I do like giving these talks with a live example […]
I was giving a talk at the Digital Humanities Oxford Summer School on reproducibility this year and had an intriguing question. A review of a recent conference paper reminds me of this. At the end of the lecture, I pose two questions: Can someone on your group reproduce one of your results using available information […]
I’ve just come back from an workshop run by the Software Sustainability Institute about Docker and reproducibility. Widely used in industry and academia, Docker, the containerisation technology, is perhaps one of many tools to support the running of software across different platforms in a sane way. Two or three years ago, there was a huge […]
Last year I had the pleasure of helping Julia Stewart Lowndes at a Software Carpentry style workshop in Oxford. I got notice of her paper, Our path to better science in less time using open data science tools, [1] via various means and made time to read the other day. It describes the path taken […]
Last month I instructed at a Software Carpentry workshop with the Reproducible Research Oxford group as Phil Fowler, my co-instructor, a has recently blogged about. He mentions Software Carpentry’s mission about reaching science students and comments: I think researchers in the Humanities and Social Sciences have just as much, if not more, to gain from […]
