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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LEAP

Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering
Academia

DNAi

Completed
High throughput eDNA processing using artificial intelligence for ecosystem monitoring
Climate & Environment
Academia

PHENO-MINE

Completed
Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field
Climate & Environment
Academia

DATSSFLOW

Completed
Data Science and Mass Movement Seismology: Towards the Next Generation of Debris Flow Warning
Climate & Environment
Academia

DUPLET

In Progress
DUal Positron Lifetime Emission Tomography
Health & Biomedical
Academia

FastPoints2Mesh

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

PAIRED-HYDRO

Completed
Machine learning for the components fatigue prediction in hydropower generation
Energy & Sustainability
Engineering
Academia

EvolvingDemocraSci

Completed
Advancing parliamentary data analysis
Digital Society
Academia

ML-ED

Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
Academia

DIMPEO

Completed
Detecting drought impacts on forests in earth observation data
Climate & Environment
Academia

FastPlasmaSim

In Progress
Acceleration of Free-boundary Grad-Shafranov codes using advanced numerical methods
Large-scale Infrastructures
Academia

SPEED2ZERO

In Progress
Sustainable pathways towards net zero Switzerland
Climate & Environment
Academia

CHIP

In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Large-scale Infrastructures
Academia

MUTIGER

In Progress
MUTations, Interactions and GEne Regulation
Health & Biomedical
Academia

EAGLE

In Progress
Enhanced understanding of Alpine mass movements Gathered through machine LEarning
Climate & Environment
Academia

ADOPT

In Progress
AI for Detecting Ocean Plastic Pollution with Tracking
Climate & Environment
Academia
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