The rapid developments in AI have a profound impact on many aspects of scholarly research. The Third Bridge on Artificial Intelligence for Scholarly Communication (AI4SC) aims to bridge the gap between AI approaches and practical solutions for scholarly research. The two-day bridge program aims to discuss the potential that AI has to offer scholarly researchers, including opportunities for AI research assistants, comprehensive literature analysis, and the automated extraction and organization of scholarly knowledge. In addition, we also acknowledge the challenges and difficulties associated with AI for scholarly research, including a lack of AI literacy, publication overload, diminishing peer review, and pressing issues regarding knowledge sharing.

In our previous two editions of this Bridge, also hosted at AAAI, we organized a highly interactive bridge program, with plenty of room for presentations, discussions, and audience participation. In this year's edition, we welcome the following submissions: research papers, short/vision papers, posters/demos, and non-archival submissions. We especially encourage submissions of interactive sessions and tutorials. As developments in AI continue to advance rapidly, our Bridge is more relevant than ever, as individual scientists are at a pivotal point in discovering how AI can be effectively, responsibly, and meaningfully integrated into scholarly research and communication.

Bridge website with more info: https://sites.google.com/view/ai4sc/edition/ai4sc-2027

Research Topics

Topics of interest include, but are not limited to:

Machine Actionable Science

• Scientific knowledge extraction from publications, datasets, software, and other scholarly outputs
• Scholarly knowledge graphs, ontologies, taxonomies, and semantic representation
• Linking, integrating, and aligning scholarly knowledge across disciplines and information sources
• Neuro-symbolic AI for scientific knowledge representation, integration, and reasoning

AI-Driven and Automated Scientific Research

• Automated and AI-assisted scientific discovery, experimentation, and knowledge generation
• AI co-scientists, autonomous research agents, and agentic systems supporting scientific workflows
• AI-assisted hypothesis generation, research planning, experimental design, and data analysis
• Multi-agent systems for collaborative scientific investigation and problem-solving
• AI-assisted literature reviews, systematic reviews, and scientific evidence synthesis
• AI-assisted scientific writing, editing, translation, and presentation
• AI-supported peer review and research evaluation
• Applications of AI across scientific disciplines

Human-AI Collaboration and Research Infrastructure

• Human-AI collaboration and interactive scientific workflows
• Researcher up-skilling, AI literacy, and the changing roles of researchers
• FAIR principles, open research infrastructures, and machine-readable scientific resources
• Interoperability and integration of AI tools into existing research environments
• Collaborative platforms connecting researchers, AI systems, scholarly resources and research institutions

Interdisciplinary Applications and Impact of AI in Science

• Applications of AI in the natural sciences, life sciences, medicine, engineering, social sciences, and humanities
• AI for addressing Sustainable Development Goals
• Cross-disciplinary knowledge discovery and integration through AI
• Case studies demonstrating the adoption, benefits, limitations, and challenges of AI in different research domains

Scientific Alignment and Research Integrity

• AI alignment with scientific values, objectives, and research practices
• Trustworthy, explainable, transparent, and accountable AI for scientific applications
• Hallucination detection, factual verification, and evidence-grounded scientific reasoning
• Bias, fairness, uncertainty, and reliability in AI-assisted research
• Research integrity, originality, authorship, attribution, and responsible AI use
• AI governance, ethical frameworks, policies, and guidelines for scientific research
• Human oversight, risk assessment, and safeguards for autonomous scientific systems

Submission Guidelines

The bridge welcomes multiple types of submissions:

A. Regular research papers which will be published as proceedings.

1. Long papers: between 10 and 15 pages (excl. references and appendix).

Original research presenting novel methods, models, architectures, reusable resources (dataset, benchmark, knowledge graph, ontologies, evaluation frameworks), theoretical foundations, or empirical findings related to AI in science.

1. Short papers: between 5 and 9 pages (excl. references and appendix).

Work in progress, position, vision papers, presenting conceptual contributions outlining emerging research directions, proposing new perspectives, discussing open challenges, or advocating for changes in scientific practices, infrastructures, and policies in the age of AI.

1. Poster/demo papers: below 5 pages (excl. references, no appendix allowed).

Descriptions and demonstrations of AI-powered tools, platforms, prototypes, and infrastructures supporting scientific research, scholarly knowledge management and communication.

B. Non-proceedings submissions to be presented during the bridge and added to the bridge Zenodo community.

1. Proposed talks: up to 10 pages (excl. references, no appendix allowed).

Contributions to the community: all non-archival, e.g. ideas, previous paper presentation. Presentations of recently published or ongoing work to foster discussion without formal proceedings publication.

1. Lightning talks abstracts: up to 1 page (excl. references, no appendix allowed).

Brief presentations on any of the aforementioned topics.

We especially encourage researchers to submit their contributions as tutorials including live demonstrations, interactive exercises, or guided practice. We offer an allocated time slots of 30 or 60 minutes for your hands-on/demo/interactive workshop during our bridge. Please get in touch with the bridge organisers if you would like your contribution to be allocated one of the slots.

All submissions must be prepared using the CEURART style (download, Overleaf template) in English and submitted as a pdf. Authors must include a declaration on the use of generative AI tools (CEUR-WS AI Policy). The bridge proceedings will be submitted for publication at CEUR-WS given sufficient number and length of accepted proceedings papers (category A). Submissions not compliant with CEUR-WS templates and requirements will be desk-rejected.

Submission link: https://easychair.org/conferences/?conf=ai4sc2027

Submission deadline: 3 December 2026 end of the day AoE

Lightning talks abstracts only deadline: 14 January 2027 end of the day AoE

Note that the January deadline is only for category B5! All other contributions have to be submitted until 3 December.

The bridge submissions will undergo a single-blind review process in which at least three members of the program committee will review each submission.

Important Dates

• Submissions due: 3 December 2026 end of the day AoE
• Notifications to authors: 22 December 2026
• Camera-ready: 14 January 2027 end of the day AoE
• Deadline lightning talks abstracts only: 14 January 2027 end of the day AoE
• Notification to authors lightning talks: 21 January 2027
• Bridge program: 16-17 February 2027

Committees

Program Committee

• TBA

Organizing Committee

• Anna Jacyszyn (bridge chair), FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany, anna.jacyszyn@fiz-karlsruhe.de
• Azanzi Jiomekong, Department of Computer Science, University of Yaoude 1, Cameroon + TIB - Leibniz Information Centre for Science and Technology and University Library, Hannover, Germany , jiomekong@tib.eu
• Hannah Kim, Temple University, Philadelphia, Pennsylvania, USA, hannah.kim0007@temple.edu
• Hande Küçük McGinty, Kansas State University, Manhattan, Kansas, USA, hande@ksu.edu
• Keith G. Mills, Louisiana State University, Baton Rouge, Louisiana, USA, keith.mills@lsu.edu
• Allard Oelen, TIB - Leibniz Information Centre for Science and Technology and University Library, Hannover, Germany, allard.oelen@tib.eu
• Enayat Rajabi, Cape Breton University, Sydney, Nova Scotia, Canada, enayat_rajabi@cbu.ca

Steering Committee

• Sören Auer, TIB - Leibniz Information Centre for Science and Technology and University Library, Hannover, Germany
• Harald Sack, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany

Venue

The AI4SC bridge is co-located with the 41st Annual AAAI Conference on Artificial Intelligence which is held in Montreal, Canada. The bridge program takes place 16-17 February 2027.