Loading...
5 results
Search Results
Now showing 1 - 5 of 5
- The impact of AI on the post‐pandemic generation of early career researchers: what we know or can predict from the published literaturePublication . Herman, Eti; Nicholas, David; Abrizah, Abdullah; Revez, Jorge, 1980-; Rodríguez‐Bravo, Blanca; Swigon, Marzena; Clark, David; Xu, Jie; Watkinson, AnthonyThis 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.
- Authors, wordsmiths and ghostwriters: early career researchers' responses to artificial intelligencePublication . Clark, David; Nicholas, David; Swigon, Marzena; Abrizah, Abdullah; Rodríguez‐Bravo, Blanca; Revez, Jorge, 1980-; Herman, Eti; Xu, Jie; Watkinson, AnthonyPresents 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 sample of 91 ECRs from all fields and seven countries using both qualitative and quantitative data to view the AI experience, engagement, utility, attitudes and representativeness of ECRs. We find that: (1) ECRs exhibit mostly limited or moderate levels of experience; (2) in regard to engagement and usage there is a divide with some ECRs exhibiting little or none and others enthusiastically using AI; (3) ECRs do not think they are unrepresentative when compared to their colleagues; (4) ECRs who score highly on these measures tend to be computer scientists, but not exclusively so; (5) the main concerns regarding AI were around authenticity, especially plagiarism; (6) a major attraction of AI is the automation of ‘wordsmithing’; the process and technique of composition and writing.
- Early career researchers open‐up on citations in respect to reputation, trust, ethics, AI and much morePublication . Nicholas, David; Abrizah, Abdullah; Clark, David; Rodríguez‐Bravo, Blanca; Revez, Jorge, 1980-; Herman, Eti; Świgoń, Marzena; Xu, Jie; Watkinson, AnthonyThis 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 Science and Google Scholar. All of this, regarding a research community, to whom citations have special reputational and career-advancing value. This interview-based study covers a convenience sample of 91 ECRs from all disciplines and half a dozen countries. Furthermore, this study has been conducted with minimal prompting about citations, so providing a fresh feel by using the voices of ECRs wherever possible. Findings include: (1) citations are all-pervasive, although cropping up mostly in the reputational and trust arenas; (2) citations remain a major force in determining what is read, where to publish and what to trust; (3) there are no signs their value is diminishing; if anything, the opposite is true; (4) AI has given a boost to their use—primarily as a validity check; (5) there are strong signs that altmetrics are being taken up. Note, this was a preliminary study working with a convenience sample attempting to inform a future study. Our findings should therefore be treated more as early observations.
- Where will AI take scholarly communication? Voices from the research frontlinePublication . Nicholas, David; Rodríguez-Bravo, Blanca; Abrizah, Abdullah; Revez, Jorge, 1980-; Herman, Eti; Clark, David; Swigon, Marzena; Xu, Jie; Watkinson, AnthonyEarly 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 hear researchers' views and ‘voices’. The data comes from a project, which focuses on the impact of AI on scholarly communications. From this study, we report on the perceived transformations to the scholarly communications system by AI and other forces. We were especially interested in discovering what future ECRs foresaw for the established pillars of the system—journals and libraries. The interview-based study covers a convenience sample of 91 ECRs from all disciplines and half a dozen countries. The main findings being that while the large majority thought there would be a transformation there was no consensus as to what a transformation would look like, but there was agreement on it being one shaped by AI. The future appears rosy for journals, but less so for libraries and, importantly, for most ECRs, too.
- Integrity and misconduct, where does artificial intelligence lead?Publication . Nicholas, David; Herman, Eti; Clark, David; Abrizah, Abdullah; Revez, Jorge, 1980-; Rodríguez‐Bravo, Blanca; Świgoń, Marzena; Xu, Jie; Watkinson, AnthonyThis 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 convenience sample of 91 ECRs from all disciplines and half a dozen countries. It provides a new and fresh take on the subject, using the ‘voices’ of ECRs to describe their views and practices regarding integrity and misconduct. We show that ECRs are clearly aware of research misconduct and questionable practice with three-quarters saying so. A big indictment of the scholarly system, but, not surprising given a rising number of retractions and questionable journals. The main blame for this is levelled at the haste with which researchers publish and the volume of papers produced. ECRs also feel that things are likely to get worse with the advent of AI. They believe that they are aware of the problems and how to avoid the pitfalls but suspect that things are approaching a cliff-edge, which can only be avoided with strong policies and an overhaul of the reputational system.