
Call for Papers
(Part of IEEE e-Science 2025)
The Second International Workshop on AI Principles in Science Communication (Ai4SC) invites original contributions exploring the intersection of generative AI and FAIR principles in scientific communication. The workshop focuses on enhancing scientific knowledge structuring, sharing, and understanding using AI technologies.
Topics of Interest
- Generative AI and LLM to communicate scientific innovations
- AI-driven techniques for scientific communication and software repositories
- Blue-sky research: Future AI for scientific software and repositories
- Different approaches to process data, like RAG, finetuning, agentic AI
- Novel methods for improving software discovery, usability, FAIRness, and automation
- AI-powered software and repository similarity analysis and documentation generation
- Constructing, deploying, and managing ontologies from domain repositories using generative AI
- Next-generation GenAI for scientific software and repository interaction to communicate scientific methodology and technique
- AI-powered software and repository discovery & reusability, creating better protocols for scientific communities
- Privacy risks of scientific communication through generative AI, including access control, machine learning, and more
- Privacy-preserving heterogeneous data repositories
- LLM-based agentic pipelines for scientific workflows
- Breakthroughs in LLM for scientific advancements using big data and HPC techniques
- Integrating knowledge graphs and ontologies with generative AI for innovation and result representation
Submission Guidelines
Submissions must be original and not under review elsewhere. Papers should follow the IEEE eScience format (max 6 pages including references) and be submitted via EasyChair [submission link will be posted here soon].
Accepted papers will be included in the IEEE eScience 2025 Workshop Proceedings and presented at the workshop on September 17, 2025.
Why Submit?
- Join an interdisciplinary dialogue bridging AI and scientific communication
- Gain visibility through publication in IEEE proceedings
- Shape the future of FAIR-aware AI tools for research
We look forward to your submissions and contributions to this timely discussion at the frontier of AI and science communication.