Document details

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

Author(s): Herman, Eti ; Nicholas, David ; Abrizah, Abdullah ; Revez, Jorge, 1980- ; Rodríguez‐Bravo, Blanca ; Swigon, Marzena ; Clark, David ; Xu, Jie ; Watkinson, Anthony

Date: 2024

Persistent ID: http://hdl.handle.net/10400.5/96143

Origin: Repositório da Universidade de Lisboa

Subject(s): AI; Early career researchers; Artificial intelligence; Impacts


Description

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.

Document Type Journal article
Language English
Contributor(s) Repositório Científico de Acesso Aberto da ULisboa
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