CFA Scientific Reports

CFA Scientific Reports https://tidsskrift.dk/cfasr CFA Scientific Reports was created as a means for publishing scientific reports, working papers and similar scientific publications from the Danish Centre for Studies in Research and Research Policy (CFA). All content published in CFA Scientific Reports has been approved by the editorial board as being scientific content, produced in part or wholly by scientific staff at the research centre. There is no formal peer review process. We publish all content open access, but are not open for submissions from outside of the research centre. Scope Publications in CFA Scientific Reports cover a broad range of topics within: <ul> <li>research policy,</li> <li>research evaluation,</li> <li>research funding,</li> <li>bibliometric and scientometric research,</li> <li>sociology of science,</li> <li>the role of gender in academia,</li> <li>responsible research,</li> <li>ethics in research,</li> <li>citizen science</li> </ul> Reports can be self-financed, commissioned or part of research projects. Danish Centre for Studies in Research and Research Policy en-US CFA Scientific Reports 2794-8781 License terms apply for all publications unless specifically stated otherwise on the publication. Using Generative Artificial Intelligence (GenAI) across different Research Phases – Cases, Potential and Risks https://tidsskrift.dk/cfasr/article/view/157222 This report examines the integration of Generative Artificial Intelligence (GenAI) across the research process. Through a literature review and expert interviews, it examines GenAI applications in five research phases: idea generation and funding, research design, data collection, data analysis, and scientific publishing. The findings reveal that while GenAI offers universal benefits for tasks like literature reviews, translation, and writing assistance, its utility for data collection and analysis varies significantly across disciplines based on methodological approaches and epistemic cultures. The report concludes that effective GenAI implementation requires discipline-specific strategies developed through collaborative efforts among researchers, funders, and publishers. It emphasizes balancing the increased speed of knowledge production with maintaining research quality and addressing resource implications of widespread GenAI adoption in academia. Mads P. Sørensen Serge P.J.M. Horbach Oksana Dorofeeva Mads Schäfer Bak Copyright (c) 2025 CFA Scientific Reports https://creativecommons.org/licenses/by-nc/4.0 2024-09-01 2024-09-01 15 3 1 55 10.7146/cfasr.v15i3.157222