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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DATALAKES
Completed
Heterogeneous data platform for operational modelling and forecasting of Swiss lakes
Energy, Climate & Environment
RESEARCH
TAPEDA
Completed
Towards Automated Post-Earthquake Damage Assessment
Engineering
RESEARCH
DEAPSnow
Completed
Improving snow avalanche forecasting by data-driven automated predictions
Energy, Climate & Environment
RESEARCH
MSEI
Completed
Molecular structure elucidation by integrating different data mining strategies
RESEARCH
EconMultiplex
Completed
Multiplex Networks in International Trade
Digital Administration
RESEARCH
PACMAN HIPA
Completed
Particle Accelerators and Machine Learning
Large-scale Infrastructures
RESEARCH
PACMAN LHC
Completed
Particle Accelerators and Machine Learning
Large-scale Infrastructures
RESEARCH
Neuro-choice
Completed
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biomedical Data Science
Large-scale Infrastructures
RESEARCH
CarboSense4D
Completed
Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning
Energy, Climate & Environment
RESEARCH
Citizen-Controlled
Completed
Citizen-controlled Data Science for Multiple Sclerosis Research
Biomedical Data Science
RESEARCH
TE4med
Completed
Transposcriptome-based identifier for precision medicine
Biomedical Data Science
RESEARCH
BISTOM
Completed
Bayesian Parameter Inference for Stochastic Models
RESEARCH
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