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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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

Covalo: Sustainable ingredients
Completed
Leveraging AI to foster sustainable consumer goods
Energy & Sustainability
Private sector

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

Adecco: Standardizing Job Titles
Completed
Job title standardization through entity alignment of knowledge graphs
Digital Society
Private sector

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

Sanfilippo: Drug Repositioning
Completed
Applying deep learning to repurpose drugs for the Sanfilippo syndrome treatment.
Health & Biomedical
NGO/IO

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

Tigen: Augmented cell therapies
Completed
An artificial intelligence-based system for augmented cell & gene therapies
Health & Biomedical
Private sector

WHO-Hive
Completed
Connecting skills, knowledge, and experiences for health emergencies
Digital Society
NGO/IO
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Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.



