-
Hear the JGI’s first monthly podcast: Data Hazards and Digital Phenotyping
The JGI is delighted to launch the JGI Podcast, where the team at the Jean Golding Institute talk to different members of the University of Bristol’s data science research community. Each episode aims to highlight both the variety of backgrounds and paths that our guests come from as well as the diversity in methods, approaches…
-
Assessing the pathogenic potential of novel bacterial lineages: Towards an early warning system for problem pathogens
The future of disease control relies heavily on understanding the evolution and emergence of bacterial strains in real time, a daunting yet crucial task. Read our latest JGI Seed Corn Funding Project Blog by Sion Bayliss and Daniel Lawson.
-
Developing an Integrated and Intelligent Algo-trading System
Traditional algo-trading strategies have become central features of modern financial markets. However, these strategies often rely solely on the analysis of present and past quantitative data, neglecting the importance of incorporating qualitative data in the decision-making process. JGI Seed Corn Funding Project Blog 2022-2023: Jin Zheng
-
Seeking ground truth in data: prevalence of pain and its impacts on well-being and workplace productivity
Chronic pain is a major health issue across the globe. Researchers estimated that at least 10% of the population in the United Kingdom are suffering from pain conditions. If we consider the entire world, some estimated that over 20% of the population have chronic pain and that results in more than 20 million ‘pain days’…
-
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
-
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…
-
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…
-
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
-
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 &…
The University of Bristol's central hub for data science and data-intensive research, connecting a multidisciplinary community of experts across the University and beyond.