The 2nd International Workshop on Artificial Intelligence and the Science of Science (AI4SciSci 2025) is aimed at bringing together researchers from the areas of data mining (DM), artificial intelligence (AI), and Science of Science (SciSci). We expect to encourage an exchange of ideas and perceptions through the workshop, focusing on novel research directions, challenges, and techniques in the intersectional areas of AI and DM for SciSci.

All submissions must be written in English, following the CEUR workshop proceedings style.

Papers must be submitted via EasyChair at: https://easychair.org/conferences?conf=ai4scisci2025

We accept three types of submissions

* Extended Abstracts (up to 2 pages)
* Short Papers (up to 4 pages)
* Full Papers (up to 8 pages)

References and appendices are not counted towards the page limits.

Important dates include

* Paper Submission Deadline: Friday, October 24th, 2025
* Author Notification: Friday, November 14th, 2025
* Camera-Ready Deadline: Friday, November 28th, 2025
* Workshop date: December 15, 2025 (tentative)

To register for the workshop, please refer to the main conference website at https://2025.jcdl.org/registration/.

List of Topics
* Scholarly Graph Analytics
- Citation networks and their applications
- Social networks and their applications
- Knowledge graphs and their applications

* Scholarly Data Mining
- Innovation/novelty detection and prediction
- Scholarly collaboration and mobility prediction
- Career trajectory modeling
- Numerical modeling of scientific development
- Causal inference and reasoning for SciSci
- Streaming data mining and applications for SciSci

* Scientific Document Processing and Understanding
- ​​​​​​​​​​​​​​Scientific document parsing and applications
- Scientific metadata extraction and applications
- Scientific claim extraction and verification
- Scientific tabular data structure recognition and understanding
- Scientific figure/chart extraction and understanding
- Scientific document summarization and topic modeling

* Computational Social Sciences
- ​​​​​​​Scientific reproducibility, replicability, repeatability, and generalizability
- Innovation automation with AI
- Scientific goods for AI and ethical implications
- Socio-economic effects on scientific progress and innovation
- Scientific misinformation and disinformation
- Scientific impact quantification using metrics outside of academia (e.g., patents, technology transfer to industry and revenue)

Program Committee
* Yian Yin (Cornell University)
* Staša Milojević (University of Indiana Bloomington)

Organizing committee
* Jian Wu (Chair, Old Dominion University)
* Sarah Rajtmajer (Co-chair, Pennsylvania State University)
* Yi He (Co-chair, William & Mary)

Invited Speakers
* Daniel E. Acuña (University of Colorado, Boulder)

Publication
AI4SciSci 2025 proceedings will be published as proceedings at https://ceur-ws.org/.

Venue
The conference will be held virtually. Please refer to the workshop website for details https://ai4scisci.github.io/2025/.

Contact
All questions about submissions should be emailed to the Chair or Co-chairs.