Ai4SC 2025: The Second International Workshop on AI Principles in Science Communication

Date: September 15, 2025

Location: Chicago, USA (in conjunction with IEEE eScience 2025)

Website: https://national-data-platform.github.io/ai4sc25/

Contact: ai4sc@sdsc.edu

Workshop Scope

Generative AI and large language models (LLMs) are transforming how scientific knowledge is structured, communicated, and reused. These technologies present powerful opportunities to democratize and enhance scientific communication—but also raise complex challenges related to FAIRness, transparency, and trust.

The Second International Workshop on AI Principles in Science Communication (Ai4SC) explores this evolving landscape. It brings together researchers, technologists, ethicists, and software developers to examine how generative AI, knowledge graphs, and NLP technologies are reshaping scientific discourse and driving the next generation of software repositories, workflows, and tools.

Building on the success of Ai4SC 2024, the 2025 edition aims to foster interdisciplinary collaboration and chart the development of FAIR-aware, ethical, and reusable AI-driven infrastructures for science communication.

Ai4SC particularly welcomes work that advances FAIR principles (Findability, Accessibility, Interoperability, and Reusability) in scientific communication through AI. We also encourage blue-sky research exploring speculative or future-oriented approaches for designing transparent, explainable, and ethically grounded AI systems for knowledge sharing. Our goal is to surface both practical tools and foundational insights that can guide the evolution of scientific software, repositories, and communication protocols in the age of generative AI.

Topics of Interest

We welcome submissions on a wide range of topics, including but not limited to:

Generative AI for Scientific Communication

• Generative AI and LLMs to communicate scientific innovations
• Next-generation GenAI for interacting with scientific software and repositories
• Breakthroughs in LLMs for scientific advancement using big data and HPC
• LLM-based agentic pipelines for scientific workflows

Software Repositories, FAIRness, and Discovery

• Future AI for scientific software and repositories
• Improving software discovery, usability, FAIRness, and automation
• AI-powered software and repository discovery, reuse, and protocol generation
• Similarity analysis and automated documentation using AI

Semantic Technologies & Knowledge Representation

• Constructing, deploying, and managing ontologies from domain repositories using generative AI
• Integrating knowledge graphs and ontologies with generative AI for innovation and result representation

Privacy, Ethics & Secure Infrastructure

• Privacy risks of scientific communication through generative AI (access control, inference, ML attacks)
• Privacy-preserving heterogeneous data repositories

Techniques & Architectures

• Retrieval-Augmented Generation (RAG), fine-tuning, and agentic AI approaches
• AI-driven techniques for optimizing scientific communication pipelines and tooling

Submission Guidelines

We invite two types of submissions:

• Abstracts (Short papers) (2–4 pages, including references): for early-stage results, position papers, or innovative concepts.
• Papers (Long papers) (8–10 pages maximum, excluding references): for mature, previously unpublished research or in-depth experience reports.

All submissions should follow the IEEE 8.5×11 manuscript guidelines using the official IEEE LaTeX/Word template. Papers must use double-column text, single-spaced, 10-point font.

Accepted papers will be published in the IEEE eScience 2025 Workshop Proceedings and presented at the workshop.

Important Dates

• Website Open: May 12, 2025
• Submissions Open: June 6, 2025
• Submission Deadline: July 26, 2025, July 30, 2025 (final extension). 
• Notification of Acceptance: August 14, 2025
• Camera-Ready Deadline: August 25, 2025
• Workshop Date: September, 15-18, 2025

Organizing Committee

• Rosa Filgueira (University of Edinburgh, UK)
• Ilkay Altintas (San Diego Supercomputer Center, UC San Diego, USA)
• Subhasis Dasgupta (San Diego Supercomputer Center, UC San Diego, USA)
• Benjamin Smarr (UC San Diego, USA)

Program Committee

• Amarnath Gupta, UC San Diego
• Angelo Salatino, The Open University
• Arindrajit Pal, Academy of Technology
• Daniel Garijo, Universidad Politécnica de Madrid
• Horacio González-Vélez, National College of Ireland
• Indranil Ghosh Ray, Queen’s University Belfast
• José Fortes, University of Florida
• Kirsty Pringle, University of Edinburgh
• Maria-Esther Vidal, L3S Research Center
• Palash Ghosh, IIT Guwahati
• Renan Souza, Oak Ridge National Laboratory
• Tainã Coleman, UC San Diego
• Ulf Leser, Humboldt University of Berlin

Why Submit?

• Join a vibrant interdisciplinary community bridging AI and scientific communication
• Gain visibility through publication in IEEE eScience proceedings
• Help shape the future of FAIR-aware AI tools and scientific knowledge infrastructures

We look forward to your submissions and contributions!