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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Inter-Detect
In Progress
Quantifying Plant-Pollinator Interactions Using Computer Vision
Climate & Environment
Academia
DS4MS
Completed
Data Science for Multiplexing Spectrometers
Large-scale Infrastructures
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
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
DrSCS
Completed
Predicting subclonal drug response from single-cell sequencing for precision oncology
Health & Biomedical
Academia
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Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.