1,721,397 research outputs found
Capability and readiness of artificial intelligence for research funding organisations: A scoping review
No full textCapability and readiness of artificial intelligence for research funding organisations: A scoping review
No full textBackground: over the last decade, we have seen artificial intelligence being increasingly used in both public and private sectors. However, to understand the potential of AI for facilitating organisational processes, innovation, competitiveness and operational efficiency, there needs to be greater understanding of what AI is and what it isn’t, the utilities and considerations, and the potential avenues for AI implementation. This is particularly relevant for research funding organisations due to concerns regarding readiness, ethics and governance, and the ability of AI to reduce administrative burden and research bureaucracy.Aims: to review and summarise the available evidence about the potential use, utility and considerations of AI use, capability and implementation to address the following question: What does the evidence say about the use of AI (e.g., in use and in development) and what AI tools are available that could inform funders’ processes?Methods: a scoping review was undertaken with no study or language limits, and included literature not limited to any sector or academic discipline. Records were limited to the last three years (2022-2024) and included grey literature. Two academic databases, Web of Science and ProQuest, were searched, along with three grey literature sources: Google Scholar, Overton, and Business Source Complete in February 2024. A review of the web content of funding organisations was also conducted. Extraction, collation and summary of the evidence was carried out using a framework focusing on the utility and potential of AI and considerations and risks associated to the application of AI. Preliminary Results: the findings of the review will be presented, highlighting the utility and potential benefits of AI, considerations and risks, and reflection on the ‘AI readiness’ of research funders. Other AI themes (e.g., governance, ethics, security) identified from the literature will also be addressed to understand the application and use of AI. Value/Impact: the review will provide greater understanding of the use, appropriateness and acceptability of AI for research management practices and consider what processes and functions could be enhanced through the use of AI (where AI could add most benefit and where is it most needed for funding organisations). Although AI could offer insights to reduce the data management burden there also needs to be careful consideration of when, and in what circumstances, it may not be appropriate to implement AI. <br/
Maternal and fetal immune responses during pregancy and the first year of life and the development of allergic disease
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Exploring the potential benefits and challenges of artificial intelligence for research funding organisations: a scoping review
No full textBackground: Artificial Intelligence (AI) is at the forefront of today’s technological revolution, enhancing efficiency in many organisations and sectors. However, in some research environments, its adoption is tempered by the risks AI poses to data protection, ethics, and research integrity. For research funding organisations (RFOs), although there is interest in the application of AI to boost productivity, there is also uncertainty around AI’s utility and its safe integration into organisational systems and processes. The scoping review explored: ‘What does the evidence say about the current and emerging use of AI?’; ‘What are the potential benefits of AI for RFOs?’ and ‘What are the considerations and risks of AI for RFOs?’Methods: a scoping review was undertaken with no study, language, or field limits. Due to the rapidly evolving AI field, searches were limited to the last three years (2022-2024). Four databases were searched for academic and grey literature in February 2024 (including 13 funding and professional research organisation websites). A classification framework captured the utility and potential, and considerations and risks of AI for RFOs.Results: 122 eligible articles revealed that current and emerging AI solutions could potentially benefit RFOs by enhancing data processes, administration, research insights, operational management, and strategic decision-making. These solutions ranged from AI algorithms to data management platforms, frameworks, guidelines, and business models. However, several considerations and risks need to be addressed before RFOs can successfully integrate AI (e.g., improving data quality, regulating ethical use, data science training).Conclusion: while RFOs could potentially benefit from a breadth of AI-driven solutions to improve operations, decision-making and data management, there is a need to assess organisational ‘AI readiness’. Although technological advances could be the solution there is a need to address AI accountability, governance and ethics, address societal impact, and the risks to the research funding landscape.<br/
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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