Previous staff seed corn projects
See a list of all our previous staff seed corn projects we have funded.
Previous PGR seed corn projects
See a list of all our previous PGR seed corn projects we have funded.
Follow-on seed corn funding
The JGI was able to provide follow-on funds for previous staff seed corn winners to help develop projects and bid for further funding beyond seed corn.
See below for a list of projects funded in 2023:
| 2023 Follow-on projects | Awardee | Previous projects |
|---|---|---|
| Herding cats: An open sensor and AI platform for animal monitoring research and edutainment | Axel Montout |
Transferring early disease detection classifiers for wearables on companion animals |
| Testing out digital methods to inform healthcare history | Barbara Caddick |
Visualising the past: Exploring data visualisation as a method to investigate the digitised archives of historical medical journals |
| Irish Financial Records from the Reign of Edward I: What Applying Data Science Techniques Can Reveal |
Brendan Smith |
Digital Humanities meets Medieval Financial Records: The Receipt Rolls of the Irish Exchequer |
| Gender Representation and Stereotyping in Primary School Literature | Chris McWilliams |
The ‘symbolic annihilation of women’ in primary school literature” |
| Categorical Chemistry and Machine Learning for Pharmaceutical and Agrochemical Development | Ella Gale |
Chemspeed data capture and curation |
| An enterprise to map urban economic activities, their geographies and dynamics | Emmanouil Tranos |
Unlocking bigweb archives: a toolto learn about new economic activities over space and time |
| Medfluencer: a socio-semantic network analysis method to investigate how medical influencers affect health discourse on social media | Roberta Bernardi |
Medical Experts as Social Media Influencers of Networks of Practice in the Fight Against COVID-19 |
|
PathoPainter: an early warning system for problematic recombinogenic pathogen lineages |
Sion Bayliss |
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|
Empowering Power Electronics with Edge AI: Data-Driven Online Condition Monitoring for Electrical Machines in More Electric Aircraft |
Wenzhi Zhou |
|
| Multi-modality approach for monitoring Alzheimer's disease progression | Zahraa Abdallah |