Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model
| dc.contributor.author | Seeber, Marco | |
| dc.contributor.author | Alon, Ilan | |
| dc.contributor.author | Pina, David G. | |
| dc.contributor.author | Piro, Fredrik Niclas | |
| dc.contributor.author | Seeber, Michele | |
| dc.date.accessioned | 2022-11-17T12:03:52Z | |
| dc.date.available | 2022-11-17T12:03:52Z | |
| dc.date.created | 2022-09-22T10:37:51Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Seeber, M., Alon, I., Pina, D.G., Piro, F.N. & Seeber, M. (2022). Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model. Technological Forecasting and Social Change, 184, 1-16. | en_US |
| dc.identifier.issn | 1873-5509 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3032425 | |
| dc.language.iso | eng | en_US |
| dc.publisher | Elsevier | en_US |
| dc.rights | Navngivelse 4.0 Internasjonal | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
| dc.title | Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model | en_US |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.rights.holder | © 2022 The Author(s) | en_US |
| dc.subject.nsi | VDP::Samfunnsvitenskap: 200 | en_US |
| dc.source.pagenumber | 1-16 | en_US |
| dc.source.volume | 184 | en_US |
| dc.source.journal | Technological Forecasting and Social Change | en_US |
| dc.identifier.doi | https://doi.org/10.1016/j.techfore.2022.122009 | |
| dc.identifier.cristin | 2054220 | |
| dc.description.localcode | Paid open access | en_US |
| dc.source.articlenumber | 122009 | en_US |
| cristin.qualitycode | 1 |
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