Call for Posters, Demos, and Non-archive Fast Abstracts

The organizers of JCDL 2026 invite submissions for posters and demonstrations that reflect innovative research, ongoing projects, novel applications, or provocative ideas relevant to the digital libraries community. This track offers an opportunity for researchers, developers, practitioners, and students to present and discuss their work in an interactive and informal setting.

Posters, demos, and non-archive fast abstracts are ideal for early-stage research, system prototypes, or interfaces that benefit from direct engagement and feedback.

Important Dates

All deadlines are Anywhere on Earth (AoE) time.

Objectives

• Posters are suited for presenting late-breaking results, preliminary findings, or thought-provoking concepts that would benefit from open discussion and feedback.
• Non-archive fast abstracts are intended for sharing preliminary ideas, work-in-progress, or concise findings. These submissions will not be included in the official conference proceedings.
• Demonstrations show interactive systems, tools, or applications, emphasizing tangible contributions through live presentations and walkthroughs.

We encourage submissions from academic, industry, and cultural heritage institutions, and especially welcome work that intersects with emerging topics such as AI, LLMs, human-AI interaction, data ethics, open science, cultural heritage access, or community archives.

Submission Guidelines

Submissions should be 2–4 pages in length (1 page for non-archive fast abstracts), excluding references, and must adhere to the following guidelines:

• All submissions must be written in English, submitted in PDF format, and prepared in the current ACM two-column conference format. Suitable LaTeX, Word, and Overleaf templates are available from the ACM Website: ACM Proceedings Template. Authors using LaTeX should use the sigconf proceedings template, while Word authors should use the Interim Template.
• Clearly indicate whether the submission is a Poster, a Non-archive Fast Abstract, or a Demonstration.
• Include: title, author names, affiliations, contact information, and a description of the work’s objectives, significance, relevance to the JCDL community, and references.
• For Demonstrations: Submissions must include a working link to either: (a) a short video (up to 5 minutes) demonstrating the system, or (b) an online interface with access credentials if applicable. Submissions without a working link will be desk-rejected without review.
• For Posters / Non-archive Fast Abstracts: A video is not required at submission. However, accepted poster authors will be asked to submit a short video before the conference as a presentation backup.
• This track uses a single-blind review process. Author names and affiliations should be included in the submitted manuscript.
• If the resource involves human participants or sensitive data, submissions must include details on ethics approvals (e.g., IRB) and comply with applicable ACM ethical standards.

Format & Logistics

• Poster, demo, and non-archive fast abstract sessions will be hosted on Gather.Town or a similar interactive platform, allowing attendees to engage with presenters in real time.
• Additional technical instructions and platform details will be provided closer to the event.

Proceedings and Presentation

Accepted posters and demos will be included in the official conference proceedings, but a non-archive fast abstract will not be included in the official conference proceedings.

• Each accepted poster, demo, and non-archive fast abstract must be covered by a distinct conference registration by the deadline.
• Authors are required to present their work live during their scheduled session.

Awards

Outstanding contributions may be considered for the Best Poster and/or Best Demo Awards, announced during the closing session of the conference.

Policies

ACM Publications Policy

By submitting an article to an ACM publication, authors acknowledge that they and their co-authors are subject to applicable ACM Publications Policies, including ACM’s Publications Policy on Research Involving Human Participants and Subjects.

Generative AI Policy

All submissions must comply with the ACM Policy on Authorship’s provisions regarding the use of Artificial Intelligence, as detailed below:

• AI used to conduct the research: If AI tools were used in the design or methodology of the research, creation or selection of data sources, experiment design, data generation/collection, coding, model implementation, simulations, data analysis, testing, validation, or any other aspect of the research lifecycle directly relevant to the conclusions of the Work, this use must be described in detail in the methods section of the submission. This includes AI-assisted creation of artifacts such as code, datasets, charts, or figures that rely on AI tools.
• AI used to assist with writing: Per the current ACM Policy on Authorship, disclosure of AI tools used solely to assist with writing (as distinct from AI used in conducting the research itself) is no longer required by ACM.

Regardless of disclosure requirements, all named authors remain fully responsible and accountable for the accuracy, originality, and integrity of all content in the submission, including content produced with the assistance of AI tools. See the ACM AI Policy FAQs for further guidance and examples.

Authorship Policy

JCDL 2026 follows the ACM Authorship Policy. Every listed author must have made a substantial contribution. The complete author list must be finalized by the submission deadline — no additions, removals, or reordering will be allowed after submission.

Desk Rejection Policy

Submissions failing to adhere to length or formatting requirements, or violating academic integrity standards, may be desk-rejected. See the ACM Policy on Plagiarism, Misrepresentation, and Falsification.

ORCID Requirement

Please ensure that all authors obtain an ORCID ID so the publishing process can be completed for accepted submissions. For background, see ACM’s ORCID FAQs.

Posters and Demos Chairs