
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.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
LEAP
Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering
DNAi
Completed
High throughput eDNA processing using artificial intelligence for ecosystem monitoring
Climate & Environment
ML-ED
Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
ML-Spock
Completed
Machine Learning Supported System for Performance Assessment of Steel Structures Under Extreme Operating Conditions and Management of Risk
Engineering
PAIRED-HYDRO
Completed
Machine learning for the components fatigue prediction in hydropower generation
Energy & Sustainability
Engineering
EXPECTmine
Completed
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Climate & Environment
N2O-SSA
In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Climate & Environment
No results found.
There are no results with this criteria. Try changing your search.
No result
Contact us
Let’s talk Data Science
Do you need our services or expertise?
Contact us for your next Data Science project!



