Subproject RDF
- A1: Query-driven Validation of Distributed DAWs
- A2: Energy-Aware Optimization of Workflows in Bioinformatics
- A3: Hardening Computational Materials-Science Workflows against Human Errors
- A5: Workflows for Annotation-Efficient Machine Learning in Biomedical Imaging Research
- A6: Data Analysis Workflows for Interactive Scientific Exploration (Phase I)
- A7: Semantic Composition and Validation of Interacting DAWs in Computational Materials Science
- B1: Carbon-aware Multi-site Workflow Scheduling Under Uncertainty
- B4: Proactive Network, I/O, and Storage Steering for Multiple DAWs on Shared Infrastructures
- B5: Transparent Multi-Site Data Analysis Workflows for Earth Observation
- B6: End-to-end Energy Profiles of ML-based Data Analysis Workflows
- B7: Efficient DAW Execution Using Incremental Data for Monitoring Forest Disturbances
- C1: Collaborative Design of Exploratory DAWs in Neuroscience
- C2: Early Workflow Design: From Collaborative Scientific Problem-Solving to DAW Specifications
- C3: User Centered Design for Data Analysis Workflow Languages
- S1: Testbeds and Repositories
- S2: Integrated Research Training Group