9 documents found, page 1 of 1
Early career researchers open‐up on citations in respect to reputation, trust, ...
Nicholas, David; Abrizah, Abdullah; Clark, David; Rodríguez‐Bravo, Blanca; Revez, Jorge, 1980-; Herman, Eti; Świgoń, Marzena; Xu, JieThis paper, part of the Harbingers project studying early career researchers (ECRs), focuses on the impact of artificial intelligence (AI) on scholarly communications (https://ciber-research.com/harbingers-3/index.html). It investigates citations and citing, its purpose, function and use, especially in respect to reputation, trust, publishing and AI. We also cover journal impact factors, H-index, Scopus, Web of...
Integrity and misconduct, where does artificial intelligence lead?
Nicholas, David; Herman, Eti; Clark, David; Abrizah, Abdullah; Revez, Jorge, 1980-; Rodríguez‐Bravo, Blanca; Świgoń, Marzena; Xu, JieThis paper, part of the third stage of the Harbingers project studying early career researchers (ECRs), focuses on the impact of artificial intelligence (AI) on scholarly communications. It concentrates on research integrity and misconduct, a ‘hot’ topic among the publishing community, in no small part due to the rise of AI. The interview-based study, supported by an extensive literature review, covers a conven...
Early career researchers on all aspects of peer review: a deep dive into the data
Nicholas, David; Rodríguez‐Bravo, Blanca; Abrizah, Abdullah; Herman, Eti; Revez, Jorge, 1980-; Świgoń, Marzena; Clark, David; Xu, JieThe Harbingers study of early career researchers (ECRs) and their work life and scholarly communications began by studying generational—Millennial—change (H‐1), then moved to pandemic change (H‐2) and is now investigating another change agent—artificial intelligence (AI). This paper from the study constitutes a deep dive into the peer review attitudes and practices of 91 international ECRs from all disciplines....
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, JiePresents 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, JieEarly 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, MarzenaThis 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, AnthonyDuring 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, JieThis 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, JieThe 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...