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- SNSF-funded research related to AI increased significantly between 2011 and 2024. By applying an approach using key terms to identify AI-related grants, we could illustrate the methods preferred by the different research domains.
ml-peer-review-analysis
Publicsnf.datastory
PublicThis package contains design elements and processing functions that are used to create and deploy SNSF Data Stories (https://data.snf.ch/stories).openapc-de-snsf-2023
Public- First preliminary figures: In 2024, the SNSF invested 960 million francs in new projects, fellowships and publications as part of its regular funding schemes. A further 189 million francs were allocated to transitional measures.
snsf-grant-similarity
Public- Between 2000 and 2018, 730 highly qualified researchers received an SNSF professorship. Our analysis shows that the funding scheme successfully promoted their careers on the way to permanent professorships or equivalent positions.
positive_language
PublicERforResearch
Public- Demand for SNSF funding has been rising for years now. Why is this? Are more researchers applying for funding or are they submitting higher budgets? What consequences is this development having? An evaluation of internal data provides answers.
datastory_template
Publicdatastory_start_ups
Public- The SNSF performed an exploratory analysis to determine the extent to which the projects it funds are related to the UN Sustainable Development Goals. The analysis found evidence of links to the Goals in all research areas. A survey of researchers is set to provide further insights.
- Since 2017, project partners can contribute to specific aspects of research projects supported by the SNSF's Project funding scheme. How often are project partners involved? Are there differences between research areas? In which countries are project partners based?
- Differences in success rates between women and men in SNSF funding can be explained by a variety of different direct and indirect influences. This data story summarizes the SNSF's gender monitoring that looks at potential confounding variables using the example of project funding.