Strand 1: Scientific research, theory, and pedagogy

This discussion will outline the increased efficiency and new opportunities for disseminating research findings, while also considering the challenges of maintaining rigorous peer-review standards in the fast-paced digital era. From an editorial vantage point, we share insights on harnessing AI to enhance the visibility and impact of mindfulness studies, and how this influences the themes and narratives that gain prominence in the literature. The talk will reflect on the emerging challenges such as ensuring the ethical use of AI, addressing the digital divide in research accessibility, and preserving the integrity of mindfulness as a discipline amidst rapid technological change.

This workshop presentation aims to equip researchers with an understanding of current publishing trends, stimulate discussion on overcoming associated challenges, and inspire innovative approaches to sharing their work effectively. Attendees will leave with a clearer vision for navigating the evolving landscape of mindfulness research publication in the era of AI integration.

Learning aims:
1. To provide researchers with a comprehensive understanding of the latest trends in academic publishing.
2. To encourage active dialogue among participants on how to address challenges in the current publishing environment.
3. To foster the development of creative strategies for researchers to disseminate their work effectively.
4. To ensure participants gain a more defined perspective on how to successfully navigate the changing field of mindfulness research publication.
5. To prepare researchers for the implications and opportunities presented by the integration of AI within the research publication process.

References:
Medvedev, O. & Krägeloh, C. (2023). Harnessing Artifcial Intelligence for Mindfulness Research and Dissemination: Guidelines for Authors. Mindfulness, 14, 1019–1020. https://doi.org/10.1007/s12671-023-02155-y

Krägeloh, C.U., Alyami, M.M., Medvedev, O.N. (2023). AI in Questionnaire Creation: Guidelines Illustrated in AI Acceptability Instrument Development. In: Krägeloh, C.U., Alyami, M., Medvedev, O.N. (eds) International Handbook of Behavioral Health Assessment. Springer. https://doi.org/10.1007/978-3-030-89738-3_62-1

Medvedev, O.N., Krägeloh, C.U. (2023) A comprehensive matrix of factors contributing to depression. Nature Mental Health. https://doi.org/10.1038/s44220-023-00126-9