Seed corn projects
- Supervised learning to support the optimisation of chemical reactions 13 October 2017 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.
- GPU accelerated image processing of Cryo-EM data determining a high-resolution structure of the Thermosome a molecular machine 28 September 2017 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
- Afro-Asian Networks Visualised 27 September 2017 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
- Passive perception of speech in children with autism: Interrelating neuroimaging and interpretative paradigms 27 September 2017 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
- Exploring water quality monitoring and modelling in Bristol harbour 27 September 2017 This project analysed and visualised the quality of the water in Bristol’s Floating Harbour.
- Workshops to discuss developing, maintaining and working with databases for multi-source, multi-level, multi-type data 27 September 2017 This funding supported a large workshop in Bristol and smaller meetings to discuss and build interdisciplinary relationships for a project on antimicrobial resistance.
- Whose Culture and Where? Exploring and capturing BAME cultural engagement across Bristol 27 September 2017 This pilot project explored the engagement with arts and culture of Bristol’s BAME (Black, Asian and Minority Ethnic background) community.
- Developing a deep learning method for phylogenomics 27 September 2017 This project developed and tested a deep learning algorithm for phylogenomics focusing particularly on programming, implementing and validating the approach.
About the seed corn projects
These projects have all been funded by the Jean Golding Institute. Each year, we fund a number of University of Bristol academics to develop their own ideas around data science.