Call for participation for the first 2020 Science/SSI Paper Hackathon on Computational Life Sciences

  • Location: Flore, Northamptonshire (near Northampton)
  • Dates: 10-12 September 2014
  • Visit the Hackathon website

Help a student find software for modelling (photo)bio-reactors

If you know of software that meets the needs of Karl R. Haxthausen, an Environmental engineering student at DTU, Karl [at] haxthausen [dot] dk (please contact him).

I am working on my bachelors project, micro algae growth in bio-reactors for coupled biomass production and waste-water treatment (nutrient removal). In previous projects, crude modelling has been done using Matlab code, or even Excel, and to me, the need of a more purpose built (and perhaps more well designed) solution is warranted. The scope of my current projects is to investigate biomass yield under dynamic temperature and light intensity (fixed fluctuation). The potential of the software could however go beyond this, as there is much focus on the subject of optimizing algae growth for resource gain or water treatment mainly.

Research Software Engineers AGM: save the date!

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.

Engineering a future for research software and its makers

Research Fortnight have written a feature on the Research Software Engineer campaign.

"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.

Machine learning is easy….

By Kenji Takeda, Microsoft Research.

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.

Call for Papers: Recomputability 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.

Image processing software development for the biosciences - PhD available

Image processing software development for the biosciences: Indicators of neurodegenerative disease revealed through animal behaviour

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. 

For more information, visit Find a PhD.

Carole Goble on reproducible research: what it really means & how to reach it

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.

WSSSPE2 deadline extended - submit your papers on sustainable scientific software by July 21st

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.