Data Science Projects
The scope of these Collaborative Data Science Projects is representative of the diversity of the research undertaken within the ETH Domain, with the University of Bern, and with external partners.
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LAMP
Completed
Lensless Actinic Metrology for EUV Photomasks
Large-scale Infrastructures
LEAP
Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering
DNAi
Completed
High throughput eDNA processing using artificial intelligence for ecosystem monitoring
Energy, Climate & Environment
EvolvingDemocraSci
Completed
Advancing parliamentary data analysis
Digital Administration
ML-ED
Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
ML-Spock
Completed
Machine Learning Supported System for Performance Assessment of Steel Structures Under Extreme Operating Conditions and Management of Risk
Engineering
PAIRED-HYDRO
Completed
Machine learning for the components fatigue prediction in hydropower generation
Engineering
EXPECTmine
Completed
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Energy, Climate & Environment
N2O-SSA
In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Energy, Climate & Environment
DAAAD_Bridges
Completed
Domain-aware-AI Augmented Design of Bridge Structures
Engineering
AURORA
In Progress
From air pollution sources to mortality
Biomedical Data Science
Energy, Climate & Environment
SPI-GreenFjord
In Progress
Energy, Climate & Environment
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