ACADEMIC PROJECTS AND EVENTS

4th Call for Collaborative Data Science Projects

The Swiss Data Science Center offers project grants for interdisciplinary research for researchers employed by an institution of the ETH Domain (Eawag, Empa, EPFL, ETH Zürich, PSI, WSL).

Call important date:

  • Submission of pre-proposals:
    July 13, 2020
  • Invitation to submit full proposals:
    August 10, 2020
  • Submission of full proposals:
    October 30, 2020
  • Final decision on full proposals:
    February 10, 2021
  • Start of projects:
    March-June 2021

Call Documentation

Read

Pre-Proposal Template

Closed

Pre-Proposal Submission

Closed

Budget File

Download

Full Proposal Template

Download

Full Proposal Submission

Portal Access

SDSC Projects Information Day 2020

This years information session about the Swiss Data Science Center activities took place on Monday, May 18th as a Webinar.

Additionally to the call for projects to collaborate, exciting new projects that the SDSC is/was starting in 2020 and an overview of one of our poster-child collaborations from our first call were presented.

All talks were recorded and can be seen here:

Watch Webinar

PhD Fellowships

The SDSC funds Fellowships for PhD students currently enrolled at ETH Zürich or EPFL and supervised by Thesis Director from the same institution.

This call primarily targets research groups at EPFL and ETH Zürich that are working on data science and machine learning methods, broadly speaking. We invite proposals for research and development of data science methods, possibly motivated by a real-world use case, that have the potential of broadly enabling the adoption of data science in academia and industry.

2019 PhD Fellows

Other Links

EPFL Master Projects
Speakers

CONTACT

For more information, please contact Dr. Sofiane Sarni, Program Manager.

Ongoing Projects

ease.ml – integrating AutoML into SDSC Eco-Systems

ease.ml – integrating AutoML into SDSC Eco-Systems

SysGen – Systems Genetics

SysGen – Systems Genetics

Deep-Ephys – Using machine learning for biomarker discovery in human iPSC neuronal networks

Deep-Ephys – Using machine learning for biomarker discovery in human iPSC neuronal networks

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

Beyond Weather – Extending the PrEdiCTability of the Atmosphere over Europe

Beyond Weather – Extending the PrEdiCTability of the Atmosphere over Europe

PACMAN – Particle Accelerators and Machine Learning

PACMAN – Particle Accelerators and Machine Learning

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

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

TAPEDA – Towards Automated Post-Earthquake Damage Assessment

TAPEDA – Towards Automated Post-Earthquake Damage Assessment

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

The Swiss Data Science Center and SIB are joining forces

The Swiss Data Science Center and SIB are joining forces

DPPH – Data Protection in Personalized Health (SFA-PHRT)

DPPH – Data Protection in Personalized Health (SFA-PHRT)

Deep learning for TOMCAT imaging – DeepMICROIA

Deep learning for TOMCAT imaging – DeepMICROIA

Delivering Added-value To Antarctica – ACE-DATA

Delivering Added-value To Antarctica – ACE-DATA

Interpretable Learning Methods for Immunotherapy – iLearn

Interpretable Learning Methods for Immunotherapy – iLearn

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 – CarboSense4D

Improving species biodiversity analyses and citizen science feedback through mining data – SPEEDMIND

Improving species biodiversity analyses and citizen science feedback through mining data – SPEEDMIND

Deep Learning for Observational Cosmology – DLOC

Deep Learning for Observational Cosmology – DLOC

Transposcriptome-based identifier for precision medicine – TE4med

Transposcriptome-based identifier for precision medicine – TE4med

The Human Measurement Project – HMP

The Human Measurement Project – HMP

Data Science Enabled Acoustic Design – AADS

Data Science Enabled Acoustic Design – AADS

Bayesian Parameter Inference for Stochastic Models – BISTOM

Bayesian Parameter Inference for Stochastic Models – BISTOM

A Research Platform for Data-Driven Democracy Studies in Switzerland -DemocraSci

A Research Platform for Data-Driven Democracy Studies in Switzerland -DemocraSci

Context-Aware Mobility Mining Tools – COMMIT

Context-Aware Mobility Mining Tools – COMMIT

Citizen-controlled Data Science for Multiple Sclerosis Research

Citizen-controlled Data Science for Multiple Sclerosis Research

Security and Privacy of the Data Science Knowledge Graph – SecureKG

Security and Privacy of the Data Science Knowledge Graph – SecureKG

Data platform and Bayesian forecasting of Swiss lakes – DATALAKES

Data platform and Bayesian forecasting of Swiss lakes – DATALAKES

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

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

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

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