0000000001043865
AUTHOR
Michele Seeber
Exploring the impact of COST Actions on scientific collaboration
The goal of this study was to explore the effects of participating in a Cost Action on the level of scientific collaboration. The results show on average a remarkable increase of co-publications between an Action’s active members, including interdisciplinary publications, and an increased involvement of scientists from peripheral countries (i.e., inclusive target countries), early career researchers, and women. The impact of active participation in an Action is not limited to the period of the project, but it persists also after its conclusion. The increase in collaborative publications does not come at the expense of non-collaborative publications, which points out to a net positive …
Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model
Research often fails to be translated into applications because of lack of financial support. The Proof of Concept (PoC) funding scheme from the European Research Council (ERC) supports the early stages of the valorization process of the research conducted by its grantees. This article explores the factors that predict who will apply for ERC grants and which grant proposals will prove successful. By combining information from two datasets of 10,074 ERC grants (representing 8361 individual grantees) and 2186 PoC proposals, and using automated machine learning, we can identify the main predictors of the propensity to apply and to win. Doing so fills a void in the literature on likelihood to a…