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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N2O-SSA
In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Climate & Environment
DAAAD_Bridges
Completed
Domain-aware-AI Augmented Design of Bridge Structures
Engineering
AURORA
In Progress
From air pollution sources to mortality
Climate & Environment
SPI-GreenFjord
In Progress
Climate & Environment
SPI-PAMIR
In Progress
Climate & Environment
deepLNAfrica
Completed
Mapping changes in urban informal settlements in sub-Saharan Africa using deep learning and open-access satellite imagery
Digital Society
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
Energy & Sustainability
IRMA
Completed
Interpretable and Robust Machine Learning for Mobility Analysis
Engineering
ArcticNAP
Completed
Arctic climate change: Exploring the Natural Aerosol baseline for improved model Predictions
Climate & Environment
CHUV: Heracles - Sepsis Model
Completed
CHUV: Improving Sepsis detection and quality of care with AI
Health & Biomedical
Public sector
SEMIRAMIS
Completed
AI-augmented Architectural Design
Engineering
RED-ML
Completed
Reduction of high volume experimental data using machine learning
Large-scale Infrastructures
MLTox
Completed
Enhancing toxicological testing through machine learning
Climate & Environment
MACH-Flow
Completed
Machine learning for Swiss river flow estimation
Climate & Environment
DeepCloud
Completed
A data-driven sub-grid parametrization for complex terrain
Climate & Environment
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