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

DUPLET

In Progress
DUal Positron Lifetime Emission Tomography
Biomedical Data Science

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

EvolvingDemocraSci

In Progress
Advancing parliamentary data analysis
Digital Administration

ML-ED

In Progress
Increased spatial resolution in electron detectors through machine learning
Big Science Data

DIMPEO

In Progress
Detecting drought impacts on forests in earth observation data
Energy, Climate & Environment
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