The second AGM for Research Software Engineers (RSEs) will take place on September 15th-16th in London. Save the date!
This year, we will be combining the meeting with a hackday, so that RSEs get an opportunity not only to meet, but to work together too. More details about the workshop will be announced in the coming weeks. Keep an eye on the Institute website and the RSE community Twitter for the latest news.
Posted by a.hay on Friday 25 July 2014.
"What do you call a postdoc who doesn’t write papers? A coder, most likely.
As research has come to rely increasingly on software for data collection, organisation and analysis, some postdocs have found themselves focusing on writing software. Many call themselves research software engineers, producing crucial code, and there are now enough of these for them to have started making demands—that universities and funders invent a way of recognising and measuring their contribution to research, and for the software they write to be used beyond a single project."
Read the article on the Research Fortnight website.
Posted by s.hettrick on Wednesday 23 July 2014.
Posted by n.chuehong on Monday 21 July 2014.
Well, it just got a lot easier with the new Azure Machine Learning cloud service. To find out more about how this can help your research, join Microsoft Research on 22 July for our live webinar including Q&A with Roger Barga, in Microsoft’s Cloud Machine Learning group. You can register to watch live, or on-demand afterwards.
This powerful cloud service provides the capability to visually compose machine learning experiments; access to proven algorithms from Microsoft Research, Bing, and Xbox; first-class support for R, enabling you to seamlessly bring in existing work; unmatched ease of collaboration - simply click share my workspace and share experiments with anyone, anywhere; and tools to immediately deploy a predictive model as a machine-learning web service on the cloud.
Posted by s.hettrick on Thursday 17 July 2014.
Affiliated to the 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014) in London from 8-11 December, Recomputability 2014 is an interdisciplinary forum for academic and industrial researchers, practitioners and developers to discuss challenges, ideas, policy and practical experience in reproducibility, recomputation, reusability and reliability across utility and cloud computing. It will provide an opportunity to share and showcase best practice, as well as to provide a platform to further develop policy, initiatives and practical techniques for researchers in the computational science domain.
Posted by s.hettrick on Wednesday 16 July 2014.
A multi-disciplinary project developing image analysis software for objective, non-invasive assessment of animal behaviour. In particular, the project will focus on developing a piece of usable software to process videos to quantify changes in patterns of mouse locomotion and whisker movements resulting from neurodegenerative disorders such as Motor Neuron Disease, Huntingdon's Disease and ageing.
Posted by s.hettrick on Wednesday 16 July 2014.
At the heart of scientific method lies the often elusive concept of reproducibility. It is increasingly apparent that much data churned out of labs across disciplines doesn’t meet this crucial criterion.
Getting to grips with how to tackle this problem requires a firm understanding of exactly what is required to attain the badge of reproducibility. What is really meant by the catchphrase reproducible research? What is needed to practically achieve this? In this video Q&A Carole Goble, Editorial Board member for GigaScience, offers some much needed answers.
See the video and read more about this subject on the Biome website.
Posted by s.hettrick on Tuesday 15 July 2014.
The deadline for submissions to the Working towards Sustsinable Scientific Software: Practices and Experiences workshop has been extended by one week to July 21st, 2014.
For more information, visit the workshop website.
Posted by n.chuehong on Monday 14 July 2014.
By Shafi Ahmed, Colorectal Cancer Lead at Barts Health NHS Trust and Associate Dean at Queen Mary University of London.
This article is part of our series: a day in the software life, in which we ask researchers from all disciplines to discuss the tools that make their research possible.
Over the last few centuries, surgery has traditionally been taught as an apprenticeship with students clamouring around the operating table to glimpse a view of both surgical technique and clinical anatomy.
Not much as changed over this time, even now, medical students will be crowded in the operating theatre, sometimes stuck in the background and waiting for many hours to get a glimpse of theory being put into practice.
Thanks to the introduction of video imaging systems such as the laparoscope - as used in keyhole surgery - we have begun to visualise surgery in a much clearer and more accessible fashion for a larger number of students, and so this has become the benchmark for training in modern abdominal surgery.
Posted by a.hay on Friday 11 July 2014.
Posted by n.chuehong on Thursday 10 July 2014.