Logo do repositório
 
Publicação

The impact of AI on the post‐pandemic generation of early career researchers: what we know or can predict from the published literature

2024-09-04Artigo científico Acesso restrito
Ver registo simples
dc.contributor.authorHerman, Eti
dc.contributor.authorNicholas, David
dc.contributor.authorAbrizah, Abdullah
dc.contributor.authorRevez, Jorge, 1980-
dc.contributor.authorRodríguez‐Bravo, Blanca
dc.contributor.authorSwigon, Marzena
dc.contributor.authorClark, David
dc.contributor.authorXu, Jie
dc.contributor.authorWatkinson, Anthony
dc.date.accessioned2024-12-09T16:24:45Z
dc.date.available2024-12-09T16:24:45Z
dc.date.issued2024-09-04
dc.description.abstractThis extensive literature review is not a stand-alone paper, as it was conducted to help set the scene for the third and current stage of the Harbinger of Change project (H-3), which is focusing on the impact of artificial intelligence (AI) on early career researchers (ECRs). Its purpose is to inform the design, scope and question forming of the ongoing interview project (2024–). The overarching aim of the review is to establish what we know of the already extant and/or predicted opportunities and challenges that AI-driven technologies present to researchers, in general, and the cohort of junior researchers among them, in particular. It was found that very little empirical evidence exists of what is happening to ECRs on the ground, and that tends to be drowned in a sea of forecasts and prognostications. However, down the road there are clear benefits accruing to ECRs and, arguably, the most appealing for novice researchers must be the benefits of enhancing their productivity, the key to all scholarly rewards, inclusive of career advancement.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationHerman, E., Nicholas, D., Abrizah, A., Revez, J., Rodríguez‐Bravo, B., Swigon, M., Clark, D., Xu, J., & Watkinson, A. (2024). The impact of AI on the post‐pandemic generation of early career researchers: what we know or can predict from the published literature. Learned Publishing, 37(4), e1623. https://doi.org/10.1002/leap.1623pt_PT
dc.identifier.eissn1741-4857
dc.identifier.issn0953-1513
dc.identifier.othere1623
dc.identifier.urihttp://hdl.handle.net/10400.5/96143
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relation.publisherversionhttps://doi.org/10.1002/leap.1623pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAIpt_PT
dc.subjectEarly career researcherspt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectImpactspt_PT
dc.titleThe impact of AI on the post‐pandemic generation of early career researchers: what we know or can predict from the published literaturept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleLearned Publishingpt_PT
oaire.citation.volume37(4)pt_PT
person.familyNameManuel Rias Revez
person.givenNameJorge
person.identifierM-3096-2013
person.identifier.ciencia-idE412-383D-F3FA
person.identifier.orcid0000-0002-3058-943X
person.identifier.scopus-author-id57192803532
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication668528a9-01e3-4189-8bc4-1573004ec045
relation.isAuthorOfPublication.latestForDiscovery668528a9-01e3-4189-8bc4-1573004ec045

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
2024 Herman REVEZ The impact of AI on the post‐pandemic generation of early career researchers.pdf
Tamanho:
318.25 KB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.2 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

FL - CEC - Artigos em Revistas Internacionais