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A Challenge Owner’s perspective of the inaugural Turing Network Data Study Group
Using AI and machine learning to increase understanding of cardiac muscle proteins – the molecular basis of heart disease – is a potentially daunting challenge. But it was one that Turing Fellow Danielle Paul, from the School of Physiology, Pharmacology & Neuroscience at the University of Bristol, was keen to explore. Danielle took part in the…
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A brief introduction to colliders
Blog written by Sean Roberts, Research Associate, Anthropology and Archaeology, University of Bristol Causal graphs Causal graphs are great ways of expressing your idea about how the world works. They can also help you design your analyses, including choosing what you need to control for in order to exclude alternative explanations for the patterns you…
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Flying far from the nest – the biggest adventure or a mental health disaster?
A blog post by Angharad Stell, PhD student, Atmospheric Chemistry Research Group, School of Chemistry, University of Bristol Mental health at university has been making headlines for all the wrong reasons. Every day seems to bring a new shocking article: “one in four students suffer from mental health problems” [1] “student suicide increase warning” [2]…
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The Beauty of Data 2019 – A JGI data visualisation competition
We are excited to announce that the winner of the 2019 JGI Beauty of Data competition is Vincent Cheng from Population Health Sciences with his visualisation project ‘Automated Forward Citation Snowballing using Google Scholar and Machine Learning’. The winning visualisation is a short video, and you can view the full submission below: About the…
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Loneliness competition winners announced
We are pleased to announce that the winners of the competition are Nina Di Cara from Population Health Sciences and Tiff Massey, Analyst from Ernst and Young with their project ‘Is loneliness associated with movement for education?’. The specific research question assumes that in most cases, movement for primary and secondary education is associated with…
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Computer Experiments
Blog written by Jonathan Rougier, Professor of Statistical Science, University of Bristol In a computer experiments we run our experiment in silico, in situations where it would be expensive or illegal to run them for real. Computer code which is used as an analogue for the underlying system of interest is termed a simulator; often…
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EPIC Lab: Generating a first-person (egocentric) vision dataset for practical chemistry – data analysis and educational opportunities
Blog written by Chris Adams, Teaching Fellow, School of Chemistry, University of Bristol This project was funded by the annual Jean Golding Institute seed corn funding scheme. Our project was a collaboration between the Schools of Computer Science and Chemistry. The computer scientist side stems from the Epic Kitchens project, which used head-mounted GoPro cameras…
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Can machines understand emotion? Curiosity Challenge winners announced
We are pleased to announce the winners of the Curiosity Challenge are Oliver Davis and his team here at the University of Bristol: Zoe Reed, Nina Di Cara, Chris Moreno-Stokoe, Helena Davies, Valerio Maggio, Alastair Tanner and Benjamin Woolf. The team will be collaborating with We The Curious on a prototype, which is due to…
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Visualising group energy
Blog written by Hen Wilkinson, School for Policy Studies at the University of Bristol. The project was funded by the annual Jean Golding Institute seed corn funding scheme. It emerged from Hen’s ESRC funded PhD research, supported by the SWDTC and School for Policy Studies. Collaborative working is central to tackling the world’s complex problems…
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