Back to Search Start Over

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

Authors :
Herman, Eti
Nicholas, David
Abrizah, Abdullah
Revez, Jorge
Rodríguez‐Bravo, Blanca
Swigon, Marzena
Clark, David
Xu, Jie
Watkinson, Anthony
Source :
Learned Publishing; Oct2024, Vol. 37 Issue 4, p1-14, 14p
Publication Year :
2024

Abstract

This 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09531513
Volume :
37
Issue :
4
Database :
Complementary Index
Journal :
Learned Publishing
Publication Type :
Academic Journal
Accession number :
180474896
Full Text :
https://doi.org/10.1002/leap.1623