
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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COPE
In Progress
COnstraints on near-term warming ProjEctions via distributionally robust statistical and machine learning
Energy, Climate & Environment
RESEARCH

Inter-Detect
In Progress
Quantifying Plant-Pollinator Interactions Using Computer Vision
Energy, Climate & Environment
RESEARCH

FastPoints2Mesh
In Progress
Data-Driven Inference of Mesh-based Representations for Deformable Objects from Unstructured Point Clouds
Engineering
RESEARCH

CHIP
In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Large-scale Infrastructures
RESEARCH

MLfusion
In Progress
Machine Learning for Disruption Prediction in Tokamaks
Large-scale Infrastructures
RESEARCH

STIMO
In Progress
Personalized epidural electrical stimulation of the lumbar spinal cord for clinically applicable therapy to restore mobility after paralyzing spinal cord injury
Biomedical Data Science
RESEARCH

CHEMSPEC
Completed
Cost-effective chemical speciation monitoring of particulate matter air pollution
Energy, Climate & Environment
RESEARCH

DATSSFLOW
Completed
Data Science and Mass Movement Seismology: Towards the Next Generation of Debris Flow Warning
Energy, Climate & Environment
RESEARCH

WATRES
Completed
A Data-Driven approach to estimate WATershed RESponses
Energy, Climate & Environment
RESEARCH
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