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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…
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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…
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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…
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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…
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Enabling advanced analytics for all users of the proteomics facility
Discovery proteomics Research in the life sciences and translational medicine is being driven forward by cutting-edge techniques for studying the molecules acting in cells. We are interested in studying what proteins are present in diseased cells and in what quantities, compared with normal cells, since the identity of the proteins may help us understand the…
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EPIC-KITCHENS 2018: A publicly available dataset
EPIC-KITCHENS is a collaboration with the University of Toronto (Canada) and the University of Catania (Italy), led by the University of Bristol to collect and annotate the largest (over 10 million frames) dataset, capturing 32 individuals in their own homes, over several consecutive days. The dataset was collected in 4 different countries and was narrated in 6 languages…
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Developing computational tools for analysis of exome and data in highly phenotyped rare disease cohorts
Building a bridge between bench and computer science This project begins a new interdisciplinary collaboration between renal biology and engineering mathematics to apply novel machine learning methods to investigate genetic signatures in a highly phenotyped rare kidney disease cohort. Idiopathic Nephrotic Syndrome (INS) is a rare and one of the most difficult renal diseases in…
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Exploiting big data for greenhouse gas emissions estimation using INLA
Greenhouse gases – a major international research priority Greenhouse gases are accumulating in the atmosphere but our current understanding of their sources and sinks is poor. Robust, transparent evaluation of global greenhouse gas emissions is now recognised as a major international research priority. Unprecedented data volumes require new statistical techniques The Earth’s surface is far too large to…
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Virtual reality avatar as a diagnostic aid for psychosis: Data-driven approaches for mental health diagnostics
Psychosis Psychosis defines a category of serious and long-term mental disorders, like schizophrenia, characterised by loss of contact with reality and symptoms such as hallucinations, delusions and thought disorder. Psychosis is extremely expensive to treat and one of the leading causes of disability worldwide. A data-driven method We are working on a data-driven method to assess non-verbal synchrony, which is a core component of social functioning…