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.
MLATEM
Machine Learning tools for Analytical Transmission Electron Microscopy
Chemistry
Academia
SenseDynamics
Completed
Predicting aerodynamics forces from sensor data
Engineering
Physics
Academia
SysGen
Systems Genetics
Biology
Academia
MSEI
Completed
Molecular structure elucidation by integrating different data mining strategies
Chemistry
Academia
Neuro-choice
Completed
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biology
Academia
BISTOM
Completed
Bayesian Parameter Inference for Stochastic Models
Physics
Academia
AADS
Completed
Data Science Enabled Acoustic Design
Engineering
Academia
Dedgeflow
Completed
Using Data Science and Edge Computing for Debris Flow Warning
Climate & Environment
Academia
CHUV: Heracles - Sepsis Model
Completed
CHUV: Improving Sepsis detection and quality of care with AI
Health & Biomedical
Public sector
AI-Driven Political Monitoring
Completed
Legislative tracking for labor advocacy at Kaufmännischer Verband Schweiz
Digital Society
Private sector
LUCID National Data Stream
In Progress
Low Value of Care in Medical Hospitalized Patients - a National Data Stream on Quality of Care in Swiss University Hospitals
Health & Biomedical
Public sector
Academia
Syngenta: Steam consumption optimization
Completed
Reliable strategies to save energy in Syngenta’s Kaisten plant
Energy & Sustainability
Private sector
EKZ: Synthetic Load Profile Generation
Completed
Reliable electricity load monitoring for non-metered nodes
Energy & Sustainability
Public sector
OneDoc: Ask Doki
Completed
Enhancing Healthcare Access with GenAI-empowered Booking Assistance
Digital Society
Health & Biomedical
Private sector
SFOE Energy Dashboard
Completed
Modelling the end-user Swiss electricity consumption
Energy & Sustainability
Public sector
Bühler: Enhancing resource efficiency
Completed
Data science for enhancing resource efficiency in manufacturing
Energy & Sustainability
Private sector
No results found.
There are no results with this criteria. Try changing your search.
No result
Contact us
Would you like to explore how we can work together?
Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.