Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
COVID-19 mitigation policies
Studying the impacts of COVID-19 mitigation policies on health outcomes: A simulation-based approach
- Agent-based modeling
- COVID-19
- mental health
Creation of Food Specific Ontologies for Food Focused Text Mining
Capitalizing on the growth of scientific knowledge on food
- Inter-operability & linked data
CRiSp
City River Spaces, a tool for automated and scalable delineation of urban river spaces with spatial-temporal big data
- Big data
- Data Analysis
- geospatial
DarkGenerators
Interpretable large scale deep generative models for Dark Matter searches
- generative models
- Machine learning
DAS
Harnessing the Diversity of Complex e-Infrastructures
- GPU
- High performance computing
Data mining tools for abrupt climate change
Updating our knowledge on abrupt climate change
- Data Analysis
- edge detection
- HPC
Data quality in a distributed learning environment
Vast amounts of data to improve cancer treatment decisions
- Inter-operability & linked data
Data Story Telling
Improving how the eScience Center communicates complex research outputs, especially data-driven results, using data storytelling techniques.
- Data Analysis
- storytelling
- Visualization
DDtwin
Your Dietary Digital twin
- Digital twin
DEEPDIP
Discovering deep physics models with differentiable programming
- GPU
- Machine learning
- neural networks
- + 2
Deep learning for accelerated scatter correction in quantitative PET/MRI
Neural networks for scatter estimation in positron emission tomography
- Machine learning
- MRI
Deep learning OCR post-correction
Evaluation and post-correction of OCR of digitised historical newspapers
- Text analysis & natural language processing