FAIR-Aware

Acronym: FAIR -Aware
Title: Training the next generation of FAIR-aware and AI-savvy data scientists for the LSH domain
Keywords:  Education, data stewardship, FAIR workflows, artificial intelligence, bioinformatics and systems biology
Project lead:  Dr. ir. P. (Perry) Moerland
Start date: 01.06.2025
Ends on: 31.05.2027
Duration: 24 Months
Status: TDCC-LSH Programme Board & NWO approved

Public Summary​

For professionals in life sciences and health (LSH), it's increasingly crucial to (i) efficiently link findable, accessible, interoperable, and reusable (FAIR) data with computational workflows that process the data (FAIR workflows); (ii) ensure that the data produced by FAIR workflows can be seamlessly utilized for artificial intelligence (AI) applications (AI-ready); (iii) construct AI models while integrating pertinent domain-specific knowledge (AI-savvy). The objective of this project is to create two new post-Master’s courses on FAIR workflows and advanced machine learning/modern AI technology for life sciences. These courses aim to address the existing gap in equipping researchers with these essential skills.​

Responsible institution(s) and department(s)​

●  Amsterdam UMC (AUMC), Epidemiology and Data Science​
●  Wageningen University & Research (WUR), Bioinformatics​
●  Eindhoven University of Technology (TU/e), Biomedical engineering​
●  Vrije Universiteit Amsterdam (VU), Computer science​
●  Wageningen University & Research (WUR), Systems and Synthetic Biology