FORS Data Re-use Award 2023

Submission deadline: 01.10.2023

Are you currently working with social science data you got from FORS? Or are you planning to do so in the next few months? Then consider submitting your paper to the FORS Data Re-use Award 2023 and get the chance to win up to 1’000CHF.  The FORS Data Re-use Award 2023 will be given to young researchers who carry out excellent research that is based on secondary data.


Who can apply for the award?
Young researchers, notably doctoral students and postdocs can apply for the award.
Three prices will be given:

First place: 1’000 CHF

Second and third place: 500 CHF

Submission criteria

  • The manuscript must be based on data accessed via SWISSUbase.
  • The data were not produced by any of the authors.
  • The manuscript is a full paper. It can still be a work in progress but is not yet published. The author(s) plan(s) to submit it to a peer-reviewed journal.
  • Research teams can submit papers. The first author must be an early career researcher (doctoral student or postdoc).
  • The dataset is properly cited.
  • The manuscript is written in English.

Evalutation criteria

  • Innovative use of the data
  • Quality of the research design
  • Quality of the empirical analysis
  • Originality
  • Relevance/impact
  • Quality of writing and presentation
  • Career stage
  • Composition of the research team

Representatives of different units at FORS and researchers from the the Faculty of Social and Political Sciences of the University of Lausanne will evaluate all the submission and discuss them.
Submission and deadline
All submissions should be sent to Dr. Marieke Heers:

The deadline for submission is October 1, 2023

The award will be given in November 2023 and the winner will be invited to present the paper in the FORS Lunch Seminar.

Winners of the 2022 award

First prize

Rita Schmutz (LIVES, University of Lausanne)

Inequality of Educational Opportunity in Switzerland: Exploring Regional Differences and Institutional Factors

The data can be found here: