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.

Climate & Environment
Health & Biomedical
Digital Society
Energy & Sustainability
Large-scale Infrastructures
Other
Academia
NGO/IO
Private sector
Public sector
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MLfusion

In Progress
Machine Learning for Disruption Prediction in Tokamaks
Large-scale Infrastructures
Academia

WATRES

Completed
A Data-Driven approach to estimate WATershed RESponses
Climate & Environment
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

AURORA

Completed
From air pollution sources to mortality
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

MLTox

Completed
Enhancing toxicological testing through machine learning
Climate & Environment
Academia

MACH-Flow

Completed
Machine learning for Swiss river flow estimation
Climate & Environment
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

PolyNet

Completed
Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning
Health & Biomedical
Academia

ArcticNAP

Completed
Arctic climate change: Exploring the Natural Aerosol baseline for improved model Predictions
Climate & Environment
Academia
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Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.