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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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
4Real
Real-time urban pluvial flood forecasting
Climate & Environment
Academia
EXPECT
Completed
EXtending the PrEdiCTability of the Atmosphere over Europe
Climate & Environment
Academia
MLATEM
Machine Learning tools for Analytical Transmission Electron Microscopy
Chemistry
Academia
DeepEphys
Completed
Using machine learning for biomarker discovery in human iPSC neuronal networks
Health & Biomedical
Academia
COVID-19
Completed
Epidemic Forecasting
Health & Biomedical
Digital Society
Academia
DLBIRHOUI
Completed
Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Health & Biomedical
Academia
SenseDynamics
Completed
Predicting aerodynamics forces from sensor data
Engineering
Physics
Academia
TAPEDA
Completed
Towards Automated Post-Earthquake Damage Assessment
Climate & Environment
Academia
DEAPSnow
Completed
Improving snow avalanche forecasting by data-driven automated predictions
Climate & Environment
Academia
SysGen
Systems Genetics
Biology
Academia
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