
Data Science Projects
The scope of these Collaborative Data Science Projects is representative of the diversity of the research undertaken within the ETH Domain, with the University of Bern, and with external partners.
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ML-Spock
In Progress
Machine Learning Supported System for Performance Assessment of Steel Structures Under Extreme Operating Conditions and Management of Risk
Engineering

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

LEAP
In Progress
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering

DNAi
In Progress
High throughput eDNA processing using artificial intelligence for ecosystem monitoring
Energy, Climate & Environment

PHENO-MINE
In Progress
Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field
Energy, Climate & Environment

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

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

PAIRED-HYDRO
In Progress
Machine learning for the components fatigue prediction in hydropower generation
Engineering
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