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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PACMAN LHC
Completed
Particle Accelerators and Machine Learning
Large-scale Infrastructures
Academia
MSEI
Completed
Molecular structure elucidation by integrating different data mining strategies
Chemistry
Academia
PACMAN HIPA
Completed
Particle Accelerators and Machine Learning
Large-scale Infrastructures
Academia
EconMultiplex
Completed
Multiplex Networks in International Trade
Digital Society
Academia
Neuro-choice
Completed
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biology
Academia
DemocraSci
Completed
A research platform for Data-Driven Democracy Studies in Switzerland
Digital Society
Academia
DATALAKES
Completed
Heterogeneous data platform for operational modelling and forecasting of Swiss lakes
Climate & Environment
Academia
CarboSense4D
Completed
Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning
Climate & Environment
Academia
iLearn
Completed
Interpretable Learning Methods for Immunotherapy
Health & Biomedical
Academia
COMMIT
Completed
Context-Aware Mobility Mining Tools
Digital Society
Academia
Citizen-Controlled
Completed
Citizen-controlled Data Science for Multiple Sclerosis Research
Health & Biomedical
Academia
HMP
Completed
The Human Measurement Project
Health & Biomedical
Digital Society
Academia
TE4med
Completed
Transposcriptome-based identifier for precision medicine
Health & Biomedical
Academia
BISTOM
Completed
Bayesian Parameter Inference for Stochastic Models
Physics
Academia
DASH
Completed
DAta Science-informed attribution of changes in the Hydrological cycle
Climate & Environment
Academia
DLOC
Completed
Deep Learning for Observational Cosmology
Large-scale Infrastructures
Academia
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