Data Science Projects
Our Collaborative Data Science Projects represent the diversity of the research and innovation undertaken in data science and AI within the ETH Domain, with scientific partners and with private and public sector stakeholders.
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LAMP
Completed
Lensless Actinic Metrology for EUV Photomasks
Large-scale Infrastructures
RESEARCH
LEAP
Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering
RESEARCH
DNAi
Completed
High throughput eDNA processing using artificial intelligence for ecosystem monitoring
Energy, Climate & Environment
RESEARCH
EvolvingDemocraSci
Completed
Advancing parliamentary data analysis
Digital Administration
RESEARCH
ML-ED
Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
RESEARCH
ML-Spock
Completed
Machine Learning Supported System for Performance Assessment of Steel Structures Under Extreme Operating Conditions and Management of Risk
Engineering
RESEARCH
PAIRED-HYDRO
Completed
Machine learning for the components fatigue prediction in hydropower generation
Engineering
RESEARCH
EXPECTmine
Completed
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Energy, Climate & Environment
RESEARCH
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
RESEARCH
DAAAD_Bridges
Completed
Domain-aware-AI Augmented Design of Bridge Structures
Engineering
RESEARCH
AURORA
In Progress
From air pollution sources to mortality
Biomedical Data Science
Energy, Climate & Environment
RESEARCH
SPI-GreenFjord
In Progress
Energy, Climate & Environment
RESEARCH
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