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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STIMO

In Progress
Personalized epidural electrical stimulation of the lumbar spinal cord for clinically applicable therapy to restore mobility after paralyzing spinal cord injury
Health & Biomedical

SFOE Energy Dashboard

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

Enhancing resource efficiency

Completed
Data science for enhancing resource efficiency in manufacturing processes
Energy & Sustainability
Private sector

Patterns of violence

Completed
Monitoring patterns of violence with the ICRC
Digital Society
NGO

Standardizing Job Titles

Completed
Job title standardization through entity alignment of knowledge graphs
Digital Society
Private sector

Drug Repositioning

Completed
Applying deep learning to repurpose drugs for the Sanfilippo syndrome treatment.
Health & Biomedical
NGO

DUPLET

In Progress
DUal Positron Lifetime Emission Tomography
Health & Biomedical

DS4MS

Completed
Data Science for Multiplexing Spectrometers
Large-scale Infrastructures

CHEMSPEC

Completed
Cost-effective chemical speciation monitoring of particulate matter air pollution
Climate & Environment
Chemistry

DATSSFLOW

Completed
Data Science and Mass Movement Seismology: Towards the Next Generation of Debris Flow Warning
Climate & Environment

WATRES

Completed
A Data-Driven approach to estimate WATershed RESponses
Climate & Environment

CLIMIS4AVAL

Completed
Real-time cleansing of snow and weather data for operational avalanche forecasting
Climate & Environment

ML4FCC

Completed
Machine Learning for the Future Circular Collider Design
Large-scale Infrastructures

PHENO-MINE

Completed
Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field
Climate & Environment

DrSCS

Completed
Predicting subclonal drug response from single-cell sequencing for precision oncology
Health & Biomedical

MMAI-MS

Completed
Multi-Modal Analysis and Integration of MS Patient Data
Health & Biomedical
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