First Call for Papers – LIS Bibliometrics Conference 2026 – AI Meets Bibliometrics

AI Meets Bibliometrics: Advancing Metrics for a Complex Research World

When: Thursday 24 September 2026
Where: Lancaster University, UK

The LIS Bibliometrics Conference 2026 invites researchers, practitioners, librarians, information professionals, and policymakers to explore the evolving intersections between AI, bibliometrics, scholarly communication, and research evaluation.

As AI technologies increasingly influence scholarly communication, research assessment, and knowledge production, the conference aims to critically examine both the opportunities and challenges AI presents for bibliometric research and practice.

We are pleased to announce the following keynote speakers:

• Professor Mike Thelwall: University of Sheffield, UK
  Scientometrics & Altmetrics
• Professor Cinzia Daraio: Sapienza University of Rome, Italy
  Research Evaluation & Efficiency

The conference welcomes submissions related to, but not limited to, the following themes:

• AI and Computational Bibliometrics
• Research Integrity and Responsible Metrics
• Open Science and Open Infrastructure
• Bibliometrics for Research Policy and Evaluation
• Science Mapping and Visualisation
• New Indicators and Methods
• Text Mining and NLP
• Interdisciplinarity and SDGs
• Education in Bibliometrics

We welcome proposals for:

• Paper presentation
• Posters
• Workshops and tutorials

Important Dates:

• Call for Papers Opens: 15 May, 2026
• Submission Deadline: 29 June, 2026
• Notification of Acceptance: 29 July, 2026
• Conference Date: 24 September, 2026

For submission, please use the link below:
Oxford Abstracts

For enquiries, please contact:
lisbibliometricsconference2026@gmail.com

For further information please see the LIS Bibliometrics Conference Webpage and the Call for Contributions.

We look forward to welcoming you to Lancaster University (or online) for the LIS Bibliometrics Conference 2026.

Unless it states other wise, the content of the Bibliomagician is licensed under a Creative Commons Attribution 4.0 International License.