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  • Introducing: The Turing Way

    The Turing Way is a handbook to support students, their supervisors, funders and journal editors in ensuring that reproducible data science is “too easy not to do”. It will include training material on version control, analysis testing, and open and transparent communication with future users, and build on Turing Institute case studies and workshops. It…

  • Spotlight on Data: ‘One in a Million: A study of primary care consultations’

    In the Spotlight on Data blog posts, the JGI interviews the owners of datasets available on the University of Bristol’s data.bris platform. We want to showcase the great research that goes on at the University and help bring people’s attention to datasets which could be reused in new and exciting ways. If you missed it,…

  • Spotlight on Data: Effect of glass markings on drinking rate in social alcohol drinkers

    In our new blog feature, Spotlight on data, the JGI interviews the owners of datasets available on the University of Bristol’s data.bris platform. We want to showcase the great research that goes on at the University and help bring people’s attention to datasets which could be reused in new and exciting ways. In our first…

  • Introducing “Spotlight on Data”

    Unsurprisingly, at the Jean Golding Institute, we love data. Datasets are not only an intrinsic part of research, they are also an important (and REF-able!) output. By publishing research data, we invite people to build on our research and we also make our own results easier to reproduce. At the University of Bristol, this is…

  • Announcing the Jean Golding Institute Seed corn winners 2019

    We were really impressed with the quality of applications for this year’s round of funding and are very pleased to announce the JGI Seed corn fund winners for 2019: Peter Bennett, Robert Arbon & Alex Jones for their project ‘Audio-visual display of protein dynamics using deep learning and classical composition’ Catherine Dodds & Peter Keogh…

  • Using NHST in your hypothesis testing

    Hypothesis testing using statistics usually proceeds via something along these lines: Collect some data, say on the response of some variable in two different groups to a treatment and a control. State a null and alternate hypothesis. The null hypothesis is something you want to falsify and typically is a nill hypothesis i.e. one that…

  • European Study Group with Industry: linking data science and mathematical modelling

    Across a five day workshop in July 2018, the 138th European Study Group with Industry brought together mathematicians and industrialists to work side by side to solve the real and important issues that companies are facing today. GW4 Seed Corn Funding enabled the free attendance of a non-profit organisation: NHS Digital. This problem was focused…

  • Data visualisation working group – 13 September 2018

    The data visualisation working group is an informal gathering hosted at the University of Bristol to discuss new ideas and data vis methodologies, the group meets monthly. If you are interested in participate, sign up to the mailing list by sending a blank email to sympa@sympa.bristol.ac.uk with the title “subscribe data-visualisation-group” (remember to remove any email signature from…

  • Whose Culture? Data Researcher (volunteering opportunity) with Rising Arts Agency

    Context Bristol boasts a strong creative and cultural hub. For young people of colour, however, it can be difficult to be in and enjoy cultural spaces where you don’t see yourself represented. For local arts organisations, next-to-no data exists on people of colour’s cultural engagement, meaning there’s a lack of evidence to guide them in…