Collaborative Projects

The goal of the SDSC Collaborative Projects is to help researchers and domain experts leverage the state-of-the-art in data science and at the same time, aim to support the application of techniques developed in research labs working on data science methods to real-world scenarios.

The scope of these Collaborative Data Science Projects is representative of the diversity of the research undertaken within the ETH Domain.

4Real – Real-time urban pluvial flood forecasting

4Real – Real-time urban pluvial flood forecasting

SMARTAIR – Self-guided Machine Learning Algorithms for Real-Time Assimilation, Interpolation and Rendering of Flow Data

SMARTAIR – Self-guided Machine Learning Algorithms for Real-Time Assimilation, Interpolation and Rendering of Flow Data

BioDetect – Deep Learning for Biodiversity Detection and Classification

BioDetect – Deep Learning for Biodiversity Detection and Classification

PolyNet – Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning

PolyNet – Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning

MLATEM – Machine Learning tools for Analytical Transmission Electron Microscopy

MLATEM – Machine Learning tools for Analytical Transmission Electron Microscopy

DLBIRHOUI – Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

DLBIRHOUI – Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

SenseDynamics – Predicting aerodynamics forces from sensor data

SenseDynamics – Predicting aerodynamics forces from sensor data

NLP – Narratives in Law and Politics: A Computational Linguistics Approach

NLP – Narratives in Law and Politics: A Computational Linguistics Approach

TAPEDA – Towards Automated Post-Earthquake Damage Assessment

TAPEDA – Towards Automated Post-Earthquake Damage Assessment

DeepEphys – Using machine learning for  biomarker discovery in human iPSC neuronal networks

DeepEphys – Using machine learning for biomarker discovery in human iPSC neuronal networks

DEAPSnow – Improving snow avalanche forecasting by data-driven automated predictions

DEAPSnow – Improving snow avalanche forecasting by data-driven automated predictions

EXPECT – EXtending the PrEdiCTability of the Atmosphere over Europe

EXPECT – EXtending the PrEdiCTability of the Atmosphere over Europe

ease.ml – integrating AutoML into SDSC Eco-Systems

ease.ml – integrating AutoML into SDSC Eco-Systems

SysGen – Systems Genetics

SysGen – Systems Genetics

RenSho – Creating a comprehensive platform to enhance reproducibility in data-science driven research with Renku and Shogun

RenSho – Creating a comprehensive platform to enhance reproducibility in data-science driven research with Renku and Shogun

MSEI – Molecular structure elucidation by integrating different data mining strategies

MSEI – Molecular structure elucidation by integrating different data mining strategies

EconMultiplex – Multiplex Networks in International Trade

EconMultiplex – Multiplex Networks in International Trade

PACMAN LHC – Particle Accelerators and Machine Learning

PACMAN LHC – Particle Accelerators and Machine Learning

PACMAN HIPA – Particle Accelerators and Machine Learning

PACMAN HIPA – Particle Accelerators and Machine Learning

Neuro-choice – Extracting Neural Activity Signals from Large-scale Calcium Imaging Data

Neuro-choice – Extracting Neural Activity Signals from Large-scale Calcium Imaging Data

DATALAKES: Heterogeneous data platform for operational modelling and forecasting of Swiss lakes

DATALAKES: Heterogeneous data platform for operational modelling and forecasting of Swiss lakes

DemocraSci – A research platform for Data-Driven Democracy Studies in Switzerland

DemocraSci – A research platform for Data-Driven Democracy Studies in Switzerland

iLearn – Interpretable Learning Methods for Immunotherapy

iLearn – Interpretable Learning Methods for Immunotherapy

CarboSense4D – Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning

CarboSense4D – Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning

COMMIT – Context-Aware Mobility Mining Tools

COMMIT – Context-Aware Mobility Mining Tools

Citizen-Controlled – Data Science for Multiple Sclerosis Research

Citizen-Controlled – Data Science for Multiple Sclerosis Research

SecureKG – Security and Privacy of the Data Science Knowledge Graph

SecureKG – Security and Privacy of the Data Science Knowledge Graph

AADS – Data Science Enabled Acoustic Design

AADS – Data Science Enabled Acoustic Design

TE4med – Transposcriptome-based identifier for precision medicine

TE4med – Transposcriptome-based identifier for precision medicine

HMP – The Human Measurement Project

HMP – The Human Measurement Project

BISTOM- Bayesian Parameter Inference for Stochastic Models

BISTOM- Bayesian Parameter Inference for Stochastic Models

DASH – DAta Science-informed attribution of changes in the Hydrological cycle

DASH – DAta Science-informed attribution of changes in the Hydrological cycle

SPEEDMIND – Improving species biodiversity analyses and citizen science feedback through machine learning

SPEEDMIND – Improving species biodiversity analyses and citizen science feedback through machine learning

DeepMICROIA – Deep learning for TOMCAT imaging

DeepMICROIA – Deep learning for TOMCAT imaging

ACE-DATA – Delivering Added-value To Antarctica

ACE-DATA – Delivering Added-value To Antarctica

DLOC – Deep Learning for Observational Cosmology

DLOC – Deep Learning for Observational Cosmology