Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
SS-NES
Enabling Best Practices for Sustainable Software in the Natural & Engineering Sciences
- software sustainability
Statcheck
Advancing ‘statcheck’ by using Natural Language Processing
- Statistics
- Text analysis & natural language processing
Stochastic Multiscale Climate Models
Coupling an implicit low-resolution model to an explicit high-resolution ocean model
- Machine learning
- Multi-scale & multi model simulations
STRAP
Self tracking for prevention and diagnosis of heart disease
- Data Analysis
- Workflow technologies
Rethinking risk of falls in stroke survivors
Deviations in gait kinematics using machine learning
- Machine learning
Summer in the City
Forecasting and mapping human thermal comfort in urban areas
- Data Analysis
SUNBEAM
Scalable UNified Beam-tracing for Earth–Atmosphere Models
- Climate modeling
- GPU
- High performance computing
TADPOLE-SHARE
Sharing TADPOLE’s algorithms for reuse and evaluation
- Benchmarking
- Workflow technologies
TeSoPs
Technologically and socially feasible transition pathways for local energy system integration
- Data Analysis
- Optimized data handling
Texcavator
Facilitating and supporting large-scale text mining in the field of digital humanities
- Text analysis & natural language processing
The eye of the beholder
Transparent pipelines for assessing online information quality
- Machine learning
The Kumbh Mela Experiment (Indo Dutch MobiLab)
Measuring and understanding the dynamics of mankind’s largest crowd