Call for Papers and Peer Reviewers: Serials Librarian Special Issue on the Uses of AI in Scholarly Communication
Serials Librarian is a quarterly peer-reviewed journal for the international serials community. The journal encompasses practical, theoretical, and visionary ideas for librarians, publishers, vendors, and anyone interested in the changing nature of serials and scholarly communication more broadly.
Editor-in-Chief: Sharon Dyas-Correia (University of Oxford)
Associate Editor: Courtney McAllister (Atypon)
Assistant Editor: Meg Mering (University of Nebraska-Lincoln)
Review Status: Double-anonymized peer review
Publisher: Taylor & Francis
Additional information is available here
We are currently seeking submissions for a Special Issue that explores how the application of Artificial Intelligence impacts Scholarly Communication areas, such as publishing, peer review, metadata, licensing, cataloging, collection assessment, etc.
Manuscripts will be evaluated on a rolling basis. If you are planning to contribute, please let us know by submitting this form: https://forms.gle/
If you would like to be Peer Reviewer for this Special Issue, please apply here: https://forms.gle/
Peer Reviewers will receive general attribution and thanks in the published issue (with permission).
Introduction
Rapid technology change often instigates ethical questions, identity shifts, and innovation simultaneously. Artificial Intelligence is not exempt from this pattern. In fact, the proliferation of AI tools, such as chatGPT, Bard, and others has raised important questions about the nature of publishing and library work, while simultaneously supporting innovative practices and projects. This Special Issue will highlight case studies and examples of current AI applications in technical services and publishing, as well as historical perspectives on AI, and commentary on the future of Scholarly Communication.
Suggested Topics
Historical perspectives
Current trends, projects, and case studies
Future thinking in the following areas:
- Copyright implications of LLMs and AI generally
- Ethical considerations for using AI in library work
- AI and definitions of authorship/contribution
- How AI might impact citations, peer review, and publishing practices
- Technology literacy and AI training needs
- AI’s potential impact on Open Access publishing, especially with regards to academic integrity
- How AI tools could evolve to better support library and researcher needs
- The role of AI in generating, maintaining, and verifying metadata
- AI’s potential impact on professional identity and the recognition of library work, authorship, and editorship
Recommended Content
We are interested in a wide range of content types, such as:
- Research articles
- Case studies
- Interviews
- Book reviews
- Columns
Submission Procedure
Manuscripts can be submitted to the ScholarOne portal for anonymized peer review
