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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EvolvingDemocraSci
Completed
Advancing parliamentary data analysis
Digital Administration
ML-ED
Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
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
SPI-PAMIR
In Progress
Energy, Climate & Environment
deepLNAfrica
Completed
Mapping changes in urban informal settlements in sub-Saharan Africa using deep learning and open-access satellite imagery
Humanities & Social Sciences
ML-L3DNDT
Completed
Robust and scalable Machine Learning algorithms for Laue 3-Dimensional Neutron Diffraction Tomography
Large-scale Infrastructures
EUTHERMO
Completed
Scalable deep reinforcement learning algorithms for building climate control and energy management
Engineering
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