The Jean Golding Institute helps our multidisciplinary community to network, collaborate and develop short pilot projects. Every year we offer seed corn funding, based on the principle that a small financial investment will lead onto bigger things.
Find out more about our projects
Enabling advanced analytics for all users of the proteomics facility
After working on improved and novel data processing for MS for over a decade and in collaboration with proteomics labs in Manchester and Liverpool, the Dowsey group have developed a Bayesian model called BayesProt. This has become the cornerstone of several large-scale translational studies.
EPIC-KITCHENS 2018: A publicly available dataset
The largest dataset in first person (egocentric) vision - multi-faceted non-scripted recordings in peoples' homes capturing all daily activities in the kitchen over multiple days.
Developing computational tools for analysis of exome and data in highly phenotyped rare disease cohorts
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.
Exploiting big data for greenhouse gas emissions estimation using INLA
The project is a proof of concept application of an integrated nested Laplacian approximation (INLA) to infer greenhouse gas emissions, firstly to a synthetic dataset and then to the well-understood problem of estimating methane emissions in the UK.
Virtual reality avatar as a diagnostic aid for psychosis: Data-driven approaches for mental health diagnostics
This project is a pilot study to investigate the use of social movement differences as a diagnostic aid for psychosis, using an interactive virtual reality avatar.
Immune response networks in wild mice
This project initiates a new collaboration between biology and applied mathematics to apply network analysis methods to a large and unique data set of immune measures of wild mice populations.
Fostering collaborations with UK livestock diagnostic laboratories to integrate data sources on antimicrobial resistance into a multi-use data resource
The development of a comprehensive and accessible databank of veterinary data that includes information on antimicrobial use and antimicrobial resistance.
Clifton Suspension Bridge Harp
A harp has been created inspired by the Clifton Suspension Bridge and transforms data from the bridge into sound.
Afro-Asian Networks Visualised
The project brings together historians and a digital technologist to develop a database that maps vibrant, transnational networks of Asian and African activists, intellectuals and artists in the 1950s and 1960s
Workshops to discuss developing, maintaining and working with databases for multi-source, multi-level, multi-type data
This funding supported a large workshop in Bristol as well as some smaller meetings to discuss and build interdisciplinary relationships for a project on antimicrobial resistance.
Exploring water quality monitoring and modelling in Bristol Harbour
This project analysed and visualised the quality of the water in Bristol’s Floating Harbour.
Passive perception of speech in children with autism: Interrelating neuroimaging and interpretative paradigms
The aim of this project was to understand how minimally verbal Autism Spectrum Disorder (ASD) children perceive speech sounds and how this relates to their perception and communication abilities
GPU accelerated image processing of Cryo-EM data determining a high-resolution structure of the Thermosome a molecular machine
With a trip to the National Electron Microscopy (EM) facility and the expertise of a Junior Research Software Engineer, this project built a GPU machine and cooling system
Supervised learning to support the optimisation of chemical reactions
This project explored the application of different statistical approaches to the analysis of chemical data from previous systematic experiments on a key variable (ligands) in homogeneous catalysis.
Whose Culture and Where? Exploring and capturing BAME cultural engagement across
A data project aiming to measure the cultural engagement of BAME young people aged 16-25
Developing a deep learning method for phylogenomics
This project developed and tested a deep learning algorithm for phylogenomics focusing particularly on programming, implementing and validating the approach.