Skip to content
naulon
Not checkedNot checked for notices yet.

Proposal success in Horizon 2020: A study of the influence of consortium characteristics

Iris Wanzenböck, Rafael Lata, Doga Ince

Quantitative Science Studies · 2020

doi:10.1162/qss_a_00067 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

AbstractThis study draws on evaluation data to investigate the success of collaborative R&D project proposals submitted to Horizon 2020, the European Union’s Framework Programme for Research and Innovation (FP). Data on project status and evaluation score are used to identify successful and rejected project proposals. We hypothesize that the social or institutional composition of the project consortium explains the outcome of an early-stage R&D collaboration. Using regression analysis, we identify “success factors” at the consortium level, related to (a) the network visibility; (b) level of experience and degree of acquaintance; and (c) the research capabilities and excellence or reputation of consortium members. We show that consortia with high levels of experience and reputation, involving a large share of Western European partners and engaged in more application-oriented consortia, have greater chances of success in acquiring H2020 project funding. This result has implications for the scientific community, as well as for the direction of EU research policy.

Abstract licence: CC BY

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.