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SUMMARY:SDSC 6th call for Collaborative Data Science Projects
DTSTART;VALUE=DATE:20220704
DTSTAMP:20260507T174007Z
UID:dfda694b78521f72bba3c05cb6200883c3e7b92a03b6ab26ffa5d3c2
CATEGORIES:Call for proposal
DESCRIPTION: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).\n\nAs 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 w
 ithin academic disciplines of the ETH Domain\, the Swiss academic communit
 y at large\, and the industrial sector.\n\nThe goals of the SDSC Collabora
 tive Data Science Projects are to help researchers and domain experts leve
 rage the state-of-the-art in data science to develop models and analyses t
 o support their research. At the same time\, SDSC collaborative schemes ai
 m at supporting the application of techniques developed in research labs w
 orking on data science methods to real world scenarios.\n\nThrough Collabo
 rative Data Science Projects\, the data science team at the SDSC makes ava
 ilable to partnering ETH Domain research teams expertise which broadly cov
 ers data science modeling techniques including statistics\, statistical si
 gnal processing\, machine learning\, deep learning\, and techniques from c
 omputer vision\, natural language processing and optimization\, as well as
  computational methods for these techniques.\n\nMore information about ong
 oing SDSC Collaborative Data Science Projects at https://datascience.ch/ac
 ademic-projects/.\n\nThe current call distinguishes between two possible t
 racks for collaborative project proposals:\n\n	the general track\, dedicat
 ed to Data Science for Domain Science\, as in previous years\n	the LSI tra
 ck\, dedicated to Data Science for Large Scale Infrastructures.\n\n\nThe g
 eneral track welcomes submissions in all applications domains\, including 
 environmental sciences\, life sciences including biology and medicine\, ph
 ysical and material sciences\, as well as economics and social sciences. T
 his year again project proposals focusing on Personalized Health (PH) and 
 Personalized Medicine (PM)\, including those that address clinical researc
 h questions\, are particularly welcome.\n\nSuch PH/PM projects will receiv
 e additional support thanks to a joint initiative between the SDSC and ano
 ther ETH Domain Strategic Focus Area\, Personalized Health and Related Tec
 hnologies (PHRT)\, in order to create more opportunities to leverage Data 
 Science for Personalized Health projects.\n\nThe LSI track is dedicated to
  Collaborative Data Science projects that are relevant for the design\, op
 eration and exploitation of large and complex research infrastructures\, t
 echnology 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.\n\nGeneral c
 onditions:\n\n\n	Eligible Principal Investigator (PI) are employed by an i
 nstitution of the ETH Domain (Eawag\, Empa\, EPFL\, ETHZ\, PSI\, and WSL).
 \n	PIs are typically Professors and Senior Collaborative Scientists.\n	Two
 -stages application process\, with submission of pre-proposals and full pr
 oposals (upon invitation).\n	Continuation of projects funded by a previous
  call can be submitted. They are considered as new proposals and subject t
 o the same review criteria as new proposals.\n\n\nDuration: max. 24 months
 \n\nFunding: max. 240k CHF + other expenses for two or more partnering tea
 ms.\n\n\n	The total amount of funding requested for staff hired in the dif
 ferent 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.\n	Only teams from the ETH Domain can be funded in this c
 all.\n
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STATUS:CONFIRMED
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