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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SPEEDMIND
Completed
Improving species biodiversity analyses and citizen science feedback through machine learning
Climate & Environment
Digital Society
Academia

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

CHUV: Heracles - Sepsis Model
Completed
CHUV: Improving Sepsis detection and quality of care with AI
Health & Biomedical
Public sector

OneDoc: Ask Doki
Completed
Enhancing Healthcare Access with GenAI-empowered Booking Assistance
Digital Society
Health & Biomedical
Private sector

ICRC: Patterns of violence
Completed
Monitoring patterns of violence with data science
Digital Society
NGO

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

SFOE Energy Dashboard
Completed
Modelling the end-user Swiss electricity consumption
Energy & Sustainability
Public sector

AI for Parliament
Completed
Enhancing Parliamentary Services with Generative AI
Digital Society
Public sector

Burgdorf: Smart Waste Collection
Completed
City of Burgdorf deploys adaptive algorithms to save critical resources.
Digital Society
Energy & Sustainability
Public sector
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