Seed Corn Funding
The Jean Golding Institute offers seed corn funding every year to support and promote activities that will foster interdisciplinary research in the area of data science, based on the principle that a small financial investment will lead onto bigger things.
We have provided funding for a broad variety of topics including in Health, Digital Humanities, Life Sciences, Environment, Ethics and reproducible research and Data science for Science.
Find out about current seed projects below.
2023 PGR Seed Corn Projects |
|
| Unveiling Hidden Musical Semantics: Compositionality in Music Ngram Embeddings | Zhijin Guo |
| MagMap – Accurate Magnetic Characteristic Mapping Using Machine Learning | Binyu Cui |
| Applied Machine Learning for Flint Classification in Archaeology | Ruinan Wang |
2023 Staff Seed Corn Projects |
|
| Synthetic Health Data for Research Support - an exemplar from a birth cohort | Mark Mumme |
| Crowdsourcing Julius Pollux’s Onomasticon | Naomi Scott |
| Using Artificial Intelligence to Decode Morphological Signatures Underpinning Neural Development | James Armstrong |
| Using Machine Learning to Correct Probe Skew in High-frequency Electrical Loss Measurements | Jun Wang |
| The opportunities for using physiological data in AI-based closed-loop systems for young adults with T1D in the UK | Miranda Armstrong |
| Foodscapes – developing a methodology for the visualization of high-resolution biomolecular data from ancient pottery | Lucy Cramp |
| Creating a real-time map-based dashboard that brings together traffic and air pollution open-source data for Greater Bristol | James Matthews |
| Visualising Voices: “Race Talk” at Four International Congresses in Latin America (1929-1954) | Joanna Crow |
| Mapping Historic Hong Kong | Thomas Larkin |
| Redefining UoB laboratory data security, storage, sharing, and management | Peter Martin |
| Pilot Study to determine Tone Bias in Open-Source Skin Cancer Datasets | James Pope |