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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CLIMIS4AVAL
Completed
Real-time cleansing of snow and weather data for operational avalanche forecasting
Climate & Environment
ML4FCC
Completed
Machine Learning for the Future Circular Collider Design
Large-scale Infrastructures
PHENO-MINE
Completed
Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field
Climate & Environment
DrSCS
Completed
Predicting subclonal drug response from single-cell sequencing for precision oncology
Health & Biomedical
LUCID National Data Stream
In Progress
Low Value of Care in Medical Hospitalized Patients - a National Data Stream on Quality of Care in Swiss University Hospitals
Health & Biomedical
MMAI-MS
Completed
Multi-Modal Analysis and Integration of MS Patient Data
Health & Biomedical
FLBI
In Progress
Feature Learning for Bayesian Inference
Physics
LAMP
Completed
Lensless Actinic Metrology for EUV Photomasks
Large-scale Infrastructures
LEAP
Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering
DNAi
Completed
High throughput eDNA processing using artificial intelligence for ecosystem monitoring
Climate & Environment
EvolvingDemocraSci
Completed
Advancing parliamentary data analysis
Digital Society
ML-ED
Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
ML-Spock
Completed
Machine Learning Supported System for Performance Assessment of Steel Structures Under Extreme Operating Conditions and Management of Risk
Engineering
PAIRED-HYDRO
Completed
Machine learning for the components fatigue prediction in hydropower generation
Energy & Sustainability
Engineering
EXPECTmine
Completed
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Climate & Environment
N2O-SSA
In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Climate & Environment
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