AI4SC @ AAAI 2026

Scholarly work and communication include formal publications, such as journal articles and books, as well as informal sharing through preprints, conference presentations, data sharing, and broader engagement with scholarly works and research outputs. It is a reliable resource that helps societies solve complex problems and improve the quality of life by achieving sustainable development goals.

The Second AAAI Bridge Program on AI for Scholarly Communication (AI4SC 2026) will convene an interdisciplinary community of researchers, students, and AI practitioners who are developing or applying AI techniques in the context of scholarly communication. The program seeks to provide a forum for sharing approaches and experiences, identifying shared challenges, fostering collaboration, and defining future research directions. By bringing together computer scientists and domain experts from across disciplines, AI4SC 2026 aims to advance the responsible and impactful use of AI in scholarly communication and to enhance the global reach and effectiveness of scientific research.

Join our LinkedIn group to stay in touch! https://www.linkedin.com/groups/14997014/ 

TBA

An essential part of the bridge are discussion sessions. During the second edition, the community will discuss the following research questions:

• How can AI be effectively used in scholarly communication? This question aims to explore the potential of AI to support scholarly communication activities in different research domains (including, but not limited to computer science, economic, health, physics, law, etc.) such as literature discovery, knowledge synthesis, peer review, etc. while improving efficiency and accessibility.

• Which tools should be used for which purpose? This question aims at mapping existing AI-based tools (e.g., literature search and discovery, writing assistance, fact-checking, bibliometrics) to their appropriate scholarly communication tasks.

• What methodologies, methods, and tools are being developed for AI in scholarly communication? This question aims at comparing approaches across disciplines, identifying best practices, and evaluating the robustness, reproducibility, and scalability of AI systems.

• Which ethical questions must be addressed to avoid misuse of AI in scholarly communication?

For reference, please see a paper written by last year's workshop participants Charting the Future of Scholarly Knowledge with AI: A Community Perspective. Azanzi Jiomekong, Hande Küçük McGinty, Keith G. Mills, Allard Oelen, Enayat Rajabi, Harry McElroy, Antrea Christou, Anmol Saini, Janice Anta Zebaze, Hannah Kim, Anna M. Jacyszyn, Sören Auer. arXiv preprint arXiv:2509.02581. 2025 Aug 27. https://doi.org/10.48550/arXiv.2509.02581

• Francisco Bolanos, KMi, The Open University, Milton Keynes, UK

• Antrea Christou, Department of Engineering and Computer Science, Wright State University, USA

• Hamed Babaei Giglou, TIB - Leibniz Information Centre for Science and Technology and University Library, Hannover, Germany

• Fatemeh Bagheri, Saint Mary University, Halifax, Nova Scotia, Canada

• Hossein Beygi Nasrabadi, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany

• Aryan Dalal, Kansas State University, Manhattan, Kansas, USA

• Daniil Dobriy, Vienna University of Economics and Business, Austria

• Mark Gahegan, University of Auckland, New Zealand

• Hassan Hussein, TIB - Leibniz Information Centre for Science and Technology and University Library, Hannover, Germany

• Fajar J. Ekaputra, Vienna University of Economics and Business, Austria

• Kathleen Jagodnik, Kansas State University, Manhattan, Kansas, USA + Harvard University, USA

• Yaser Jaradeh, L3S Research Center, Hannover, Germany

• Lena John, TIB - Leibniz Information Centre for Science and Technology and University Library, Hannover, Germany

• Petr Knoth, Knowledge Media institute, The Open University, UK

• Domga Komguen, Department of Computer Science, University of Yaounde I, Cameroon

• Fabian Kovac, Department of Computer Science & Security, University of Applied Sciences St. Pölten, Austria

• Yigit Küçük, Collaborative Drug Discovery, USA

• Kabul Kurniawan, Gadjah Mada University, Indonesia

• Enrico Motta, KMi, The Open University, Milton Keynes, UK

• Ebrahim Norouzi, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany

• Diego Rincon Yanez, Vienna University of Economics and Business, Austria

• Anmol Saini, Department of Engineering and Computer Science, Wright State University, USA

• Sonja Schimmler, Fraunhofer FOKUS, TU Berlin, Germany

• Cogan Shimizu, Department of Engineering and Computer Science, Wright State University, USA

• Sanju Tiwari, Sharda University, Greater Noida, Delhi NCR, India