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Authors, wordsmiths and ghostwriters: early career researchers' responses to ar...

Clark, David; Nicholas, David; Swigon, Marzena; Abrizah, Abdullah; Rodríguez‐Bravo, Blanca; Revez, Jorge, 1980-; Herman, Eti; Xu, Jie

Presents the results of a study of the impact of artificial intelligence on early career researchers (ECRs). An important group to study because their millennial mindset may render them especially open to AI. We provide empirical data and a validity check of the numerous publications providing forecasts and prognostications. This interview-based study—part of the Harbingers project on ECRs—covers a convenience ...


Where will AI take scholarly communication? Voices from the research frontline

Nicholas, David; Rodríguez-Bravo, Blanca; Abrizah, Abdullah; Revez, Jorge, 1980-; Herman, Eti; Clark, David; Swigon, Marzena; Xu, Jie

Early career researchers (ECRs) are in an ideal position to soothsay. Yet, much of what we know about the impact of artificial intelligence (AI) comes from vested interest groups, such as publishers, tech companies and industry leaders, which are strong on hyperbole, are superficial and, at best, narrow surveys. This paper seeks to redress this by providing deep empirical data from researchers, allowing us to h...


Purchase and publish: early career researchers and open access publishing costs

Nicholas, David; Revez, Jorge, 1980-; Abrizah, Abdullah; Rodríguez‐Bravo, Blanca; Boukacem‐Zeghmouri, Cherifa; Clark, David; Xu, Jie; Swigon, Marzena

This paper comes from the third stage (H-3) of the long-running Harbingers of Change project (2015), which has investigated the scholarly communication beliefs and practices of early career researchers (ECRs) for a decade. The first stage (H-1) focussed on generational (Millennial) change; the second (H-2) on the impact of COVID; and, currently, the third stage (H-3) on AI and its impact. While each stage has a...


Are early career researchers feeling the consequences of the COVID pandemic?

Nicholas, David; Abrizah, Abdullah; Revez, Jorge, 1980-; Rodríguez Bravo, Blanca; Swigon, Marzena; Clark, David; Xu, Jie; Watkinson, Anthony

During the COVID pandemic, some commentators thought that early career researchers (ECRs) would become a ‘lost generation’. Yet the Harbingers (H-2) longitudinal study, which followed ECRs for 2 years during the pandemic found that ECRs took things in their stride. More than 2 years on, we returned, as part of the AI stage of the Harbingers study (H-3), to see what has transpired and interviewed nearly 70 ECRs ...


The impact of AI on the post‐pandemic generation of early career researchers: w...

Herman, Eti; Nicholas, David; Abrizah, Abdullah; Revez, Jorge, 1980-; Rodríguez‐Bravo, Blanca; Swigon, Marzena; Clark, David; Xu, Jie

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 revi...


The impact of generative AI on the scholarly communications of early career res...

Nicholas, David; Swigon, Marzena; Clark, David; Abrizah, Abdullah; Revez, Jorge, 1980-; Herman, Eti; Rodríguez Bravo, Blanca; Xu, Jie

The Harbingers study of early career researchers (ECRs), their work life and scholarly communications, began by studying generational—Millennial—change (c.2016), then moved to pandemic change (c.2020) and is now investigating another potential agent of change: artificial intelligence (2024–). We report here on a substantial scoping pilot study that looks at the impact of AI on the scholarly communications of in...


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