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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Open-source RAG for Zurich SMEs
Completed
Canton Zurich AI Program generates a Retrieval-Augmented Generation prototype for SMEs
Digital Society
Private sector

Timeseries Forecasting for Business Impact
Completed
Supporting Zurich SMEs in operational efficiency and decision-making
Digital Society
Private sector

Canton de Vaud: ENERBAT
Completed
Data-Driven Pathways to Net Zero for the Canton of Vaud’s Building Portfolio
Energy & Sustainability
Climate & Environment
Public sector
ML-Spock
Completed
Machine Learning Supported System for Performance Assessment of Steel Structures Under Extreme Operating Conditions and Management of Risk
No items found.
Academia
CHEMSPEC
Completed
Cost-effective chemical speciation monitoring of particulate matter air pollution
Climate & Environment
Academia
LEAP
Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
No items found.
Academia
FastPoints2Mesh
In Progress
Data-Driven Inference of Mesh-based Representations for Deformable Objects from Unstructured Point Clouds
No items found.
Academia
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Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.
