SDSC 6th call for Collaborative Data Science Projects

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Event details

Date 04.07.2022  
Category Call for proposal

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

As one of the Strategic Focus Areas of the ETH Domain, the mission of SDSC is to accelerate the adoption of data science and machine learning techniques within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector.

The goals of the SDSC Collaborative Data Science Projects are to help researchers and domain experts leverage the state-of-the-art in data science to develop models and analyses to support their research. At the same time, SDSC collaborative schemes aim at supporting the application of techniques developed in research labs working on data science methods to real world scenarios.

Through Collaborative Data Science Projects, the data science team at the SDSC makes available to partnering ETH Domain research teams expertise which broadly covers data science modeling techniques including statistics, statistical signal processing, machine learning, deep learning, and techniques from computer vision, natural language processing and optimization, as well as computational methods for these techniques.

More information about ongoing SDSC Collaborative Data Science Projects at https://datascience.ch/academic-projects/.

The current call distinguishes between two possible tracks for collaborative project proposals:

  • the general track, dedicated to Data Science for Domain Science, as in previous years
  • the LSI track, dedicated to Data Science for Large Scale Infrastructures.

The general track welcomes submissions in all applications domains, including environmental sciences, life sciences including biology and medicine, physical and material sciences, as well as economics and social sciences. This year again project proposals focusing on Personalized Health (PH) and Personalized Medicine (PM), including those that address clinical research questions, are particularly welcome.

Such PH/PM projects will receive additional support thanks to a joint initiative between the SDSC and another ETH Domain Strategic Focus Area, Personalized Health and Related Technologies (PHRT), in order to create more opportunities to leverage Data Science for Personalized Health projects.

The LSI track is dedicated to Collaborative Data Science projects that are relevant for the design, operation and exploitation of large and complex research infrastructures, technology platforms, sensor networks, and databases, that are operated by PSI, Empa, WSL, or Eawag. Applicants from all institutes in the ETH Domain can apply, as long as the infrastructure is eligible.

General conditions:
  • Eligible Principal Investigator (PI) are employed by an institution of the ETH Domain (Eawag, Empa, EPFL, ETHZ, PSI, and WSL).
  • PIs are typically Professors and Senior Collaborative Scientists.
  • Two-stages application process, with submission of pre-proposals and full proposals (upon invitation).
  • Continuation of projects funded by a previous call can be submitted. They are considered as new proposals and subject to the same review criteria as new proposals.

Duration: max. 24 months

Funding: max. 240k CHF + other expenses for two or more partnering teams.
  • The total amount of funding requested for staff hired in the different partnering teams cannot exceed CHF 120k total if there is a single team applying, and cannot exceed CHF 240k total if there are two or more Partnering Teams.
  • Only teams from the ETH Domain can be funded in this call.

Practical information

  • General public
  • Free

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