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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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
DemocraSci
Completed
A research platform for Data-Driven Democracy Studies in Switzerland
Digital Administration
RESEARCH
COMMIT
Completed
Context-Aware Mobility Mining Tools
Large-scale Infrastructures
Digital Administration
Energy, Climate & Environment
RESEARCH
HMP
Completed
The Human Measurement Project
Biomedical Data Science
Digital Administration
RESEARCH
DeepMICROIA
Completed
Deep learning for TOMCAT imaging
Biomedical Data Science
Large-scale Infrastructures
RESEARCH
AADS
Completed
Data Science Enabled Acoustic Design
Engineering
RESEARCH
DASH
Completed
DAta Science-informed attribution of changes in the Hydrological cycle
Energy, Climate & Environment
RESEARCH
DLOC
Completed
Deep Learning for Observational Cosmology
Large-scale Infrastructures
RESEARCH
SPEEDMIND
Completed
Improving species biodiversity analyses and citizen science feedback through machine learning
Energy, Climate & Environment
RESEARCH
ACE-DATA
Completed
Delivering Added-value To Antarctica
Energy, Climate & Environment
RESEARCH
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