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C2D3 Seed Fund winners for 2024

C2D3 are delighted to announce the winners of the Early Career Researcher Seed Fund for 2024! 

The aim of the grants was to provide a step towards an independent research career with applications focusing on cross-disciplinary data science or AI. We received the highest number of applicants for this call to date, and the quality of applications was high.

Activities funded by the grants include student internships, workshops and seminars, and establishing an expert network. The researchers will complete their projects by January 2025. 

We were able to award funding for 4 projects, up to a maximum of £5000 per project.

Congratulations to our Early Career Researchers! 

Katherine Brown, Pathology

Project: “Automated detection and annotation of RNA virus subgenomic RNAs through analysis of public RNA-seq data”

 

Luning Sun, Judge Business School

Project: “Does diversity among collaborative AI agents result in creative ideation?”

 

Julian Gilbey, Department of Applied Mathematics and Theoretical Physics

Project: “Improving validation data strategies for machine learning in medicine”

 

Dami Aderonke Collier, Pathology

Project: “AI Advancements in HIVAN: Predicting Progression to ESRD”

C2D3 Seed Fund winners for 2024

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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