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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DDForms
Completed
Data driven fast optimization of resonant metamaterial structures
Engineering
RESEARCH
SMARTAIR
Completed
Self-guided Machine Learning Algorithms for Real-Time Assimilation, Interpolation and Rendering of Flow Data
Engineering
RESEARCH
NLP
Completed
Narratives in Law and Politics: A Computational Linguistics Approach
Digital Administration
RESEARCH
PolyNet
Completed
Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning
Biomedical Data Science
RESEARCH
4Real
Real-time urban pluvial flood forecasting
Energy, Climate & Environment
RESEARCH
MLATEM
Machine Learning tools for Analytical Transmission Electron Microscopy
RESEARCH
DLBIRHOUI
Completed
Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Biomedical Data Science
RESEARCH
BioDetect
Completed
Deep Learning for Biodiversity Detection and Classification
Energy, Climate & Environment
RESEARCH
SenseDynamics
Completed
Predicting aerodynamics forces from sensor data
Engineering
RESEARCH
EXPECT
Completed
EXtending the PrEdiCTability of the Atmosphere over Europe
Energy, Climate & Environment
RESEARCH
COVID-19
Completed
Epidemic Forecasting
Biomedical Data Science
Large-scale Infrastructures
Digital Administration
RESEARCH
DeepEphys
Completed
Using machine learning for biomarker discovery in human iPSC neuronal networks
Biomedical Data Science
RESEARCH
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