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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MLfusion
In Progress
Machine Learning for Disruption Prediction in Tokamaks
Large-scale Infrastructures
Academia
RED-ML
Completed
Reduction of high volume experimental data using machine learning
Large-scale Infrastructures
Academia
DeepDown
Completed
Multivariate climate downscaling using deep learning models
Climate & Environment
Academia
EXPECTmine
Completed
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Climate & Environment
Academia
ML4FCC
Completed
Machine Learning for the Future Circular Collider Design
Large-scale Infrastructures
Academia

CLIMIS4AVAL
Completed
Real-time cleansing of snow and weather data for operational avalanche forecasting
Climate & Environment
Academia
DeepCloud
Completed
A data-driven sub-grid parametrization for complex terrain
Climate & Environment
Academia
deepLNAfrica
Completed
Mapping changes in urban informal settlements in sub-Saharan Africa using deep learning and open-access satellite imagery
Digital Society
Academia
NLP
Completed
Narratives in Law and Politics: A Computational Linguistics Approach
Digital Society
Academia
N2O-SSA
In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Climate & Environment
Academia
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