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Large-sample evaluation of deep learning and optical flow algorithms in nowcasting radar rainfall-flooding events
This seed corn project aimed to identify a large sample of rainfall events that result in flooding in Great Britain and to evaluate deep learning and optical flow algorithms for radar rainfall nowcasting at the event and catchment scales. JGI Seed Corn Funding Project Blog 2022-2023: Jiao Wang and Ahmed Mohamed
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Machine learning based online discourse analysis of mental health and medication use
Extracting information from free text sources is a complex and exciting data science challenge. Textual data generated by humans is rich, complex, with its meaning often contextual and packed with nuance. This project analysed data from Reddit, an online social news website and discussion forum community, using Natural Language Processing (NLP). JGI Seed Corn Funding…
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JGI’s Widening Participation Summer Internship Experience: Emily Anderton & Senyi Luo
JGI’s Widening Participation Summer Internship Experience: Emily Anderton & Senyi Luo We completed a six-week internship working with Dr Hen Wilkinson and the JGI team as part of the University of Bristol’s Widening Participation Research Summer Internship scheme. Our internship project was in the data science field and centered around the topic of PeaceTech. Our…
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Addressing the fetal alcohol spectrum disorder (FASD) ‘data gap’
Landmark UK guidance has called for urgent action to increase identification, understanding, and support for those affected by fetal alcohol spectrum disorder (FASD); but a paucity of national data undermines the feasibility of achieving this. JGI Seed Corn Funding Project Blog 2022-2023: Cheryl McQuire
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An exploration of how primary school children want to view their health data: a co-design study
Due to the growth of self-tracking health devices, greater attention has been paid to how individuals view their health data. However, young children are often not the focus of these investigations. Instead, adult tools are applied and validated rather than starting from the children’s perspectives. JGI Seed Corn Funding Project Blog 2022-2023: Sydney Charitos &…
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Ask JGI Student Experience Profiles: Ben Anson
JGI Student Experience Profiles: Ben Anson (Ask-JGI Data Science Support 2022-23) Ask-JGI was advertised to my CDT by one of the staff members in the School of Mathematics. It sounded like a fun way to make the most of my MSc in statistics and get some ‘real world’ practice with statistics, all whilst doing my…
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Ask JGI Student Experience Profiles: Vanessa Hanschke
JGI Student Experience Profiles: Vanessa Hanschke (Ask-JGI Data Science Support 2022-23) I initially wanted to join the Ask-JGI because I thought it would be a great opportunity for me to keep my coding skills alive. I studied computer science and have worked in the data and AI industry for three years before starting my PhD…
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Ask JGI Student Experience Profiles: Matt Chandler
JGI Student Experience Profiles: Matt Chandler (Ask-JGI Data Science Support 2022-23) Over the past year I’ve found my experience working with the Ask-JGI service really rewarding. I was keen to apply as I was looking for an exposure to the wider world of research being done at Bristol, which is something I have definitely achieved…
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Ask JGI Student Experience Profiles: Lily Tu
JGI Student Experience Profiles: Lily Tu (Ask-JGI Data Science Support 2022-23) I came across machine learning models in a summer project just before my PhD and have since been looking to incorporate it into my PhD project, as data analysis forms a big part of my research field. I applied to join the Ask-JGI team…