The Symposium on Artificial Intelligence for Cultural Heritage and Indigenous Futures

Submission Guidelines

Originality & Scope

  • All contributions must be original and must not be published elsewhere or under consideration for publication during the review period.
  • Papers are invited from researchers and practitioners whose work relates to the symposium themes and topics.
  • Contributions from industry, NGOs, community organizations, and other applied settings are strongly encouraged.
  • Submissions are to be made via the official submission system: EDAS Submission System

Paper Format & Submission

  • Papers must be prepared using Springer’s LNCS format and submitted in PDF.
  • Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers.
  • Each submission must be at most 14 pages in total, including figures, tables, and references. Papers exceeding this limit may be rejected without review.
  • All submissions must be anonymous: do not include author names, affiliations, or self-identifying references.

Publication 

  • Proceedings: The symposium post-proceedings will be published in Springer Lecture Notes in Networks and Systems (LNCS).
  • Indexing: This series is indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago.

Best Student Paper Award

  • If a submitted paper is mainly the work of a student author, it is eligible for the Best Student Paper Award.
  • To participate in this selection, please add the word “STUDENT” in the affiliation field in the submission form.
  • Only papers that are personally presented at the symposium are eligible for this award and for consideration in extended versions for special journal issues (where applicable).

Review Process

  • All submissions will undergo a rigorous peer-review process by at least three qualified reviewers from the Program Committee (or invited experts).
  • The review will evaluate scientific quality, relevance to the symposium, and clarity of presentation.
  • The symposium will include an author rebuttal phase:
    • After the preliminary notification date, authors will receive reviewer comments.
    • Authors will have a defined window to submit a rebuttal, addressing questions and clarifying misunderstandings.
    • Reviewers will consider the rebuttal when formulating their final recommendations.
  • Final acceptance decisions will be made by the Track Chairs based on the reviews and rebuttals.

Selection Criteria

Submissions will be evaluated according to (but not limited to) the following criteria:

  • Relevance: Clear alignment with one or more tracks of the symposium (e.g. AI for cultural heritage, Indigenous knowledge, language preservation and revitalization, community empowerment).
  • Significance & Impact: Potential to advance the field and/or provide tangible benefits to communities and practitioners.
  • Originality: Novelty of the research questions, methods, data, or perspectives.
  • Technical Soundness: Rigor of methods, analysis, and evaluation.
  • Quality of Presentation: Clarity, organization, and readability of the manuscript.

Preference may be given to submissions that take strong, challenging, or interdisciplinary positions on important emerging topics related to AI for cultural heritage and Indigenous futures.

Policies

Ethics, Plagiarism, and Self-Plagiarism

The symposium adheres to the standards, regarding research integrity, plagiarism, and redundant publication.

  • Plagiarism is strictly prohibited. This includes the use of another author’s text, ideas, results, images, data, or code without proper citation and clear attribution.
  • Self-plagiarism / redundant publication is also prohibited. Authors must not reuse substantial portions of their own previously published or concurrently submitted work (text, figures, or results) without citation and without clear, substantial new contribution. Papers that are identical or substantially similar to work published, accepted, or under review elsewhere (journals, conferences, or workshops with proceedings) will be treated as dual/duplicate submissions and rejected.
  • Proper scholarly practice requires that all relevant prior work (including the authors’ own) be cited and that any reuse of material (e.g. figures, text passages) from earlier publications is clearly indicated and appropriately referenced.

To uphold these standards:

  • All submissions may be checked with plagiarism-detection tools as part of the review and publication process.
  • The Program Committee will pay particular attention to possible plagiarism, self-plagiarism, and dual submissions.
  • Confirmed violations may lead to immediate rejection (or removal from the proceedings), notification of the authors’ institutions and/or publishers, and restrictions on future submissions

Use of AI Tools in Paper Preparation

The symposium permits the responsible, transparent use of AI tools (such as large language models and code assistants) under the conditions below.

  1. Permitted Uses (with Human Oversight)

Authors may use AI tools to support, but not replace, their own scholarly work, for example:

  • Language editing and copy-editing (grammar, style, fluency).
  • Formatting, summarizing notes, or assisting with literature organization.
  • Writing or refactoring code snippets in a way comparable to standard programming assistants.

In all cases, human authors must remain in full control of the argumentation, structure, and substantive content of the paper and must carefully verify any AI-assisted text, code, or figures for correctness and originality.

  1. Prohibited Uses

The following uses of AI tools are not permitted:

  • Generating a submission that is primarily or entirely AI-written without substantial human contribution.
  • Fabricating or altering data, experiments, analyses, or references.
  • Reproducing large blocks of existing text (including the authors’ own prior work) in a way that violates the symposium’s plagiarism and self-plagiarism policies.
  • Uploading confidential or sensitive material (e.g. non-public datasets, reviews, or other authors’ manuscripts) to third-party AI services.
  1. Authorship and Responsibility
    • AI tools must not be listed as authors. Authorship is reserved for humans who can take responsibility for the work, consent to authorship, and respond to critiques.
    • All human authors are fully accountable for the accuracy, originality, and integrity of any content produced with the assistance of AI tools. Misrepresentation, plagiarism, or fabrication via AI will be treated as scientific misconduct, just as if it were done manually.
  1. Disclosure Requirements
    • Any substantive use of AI tools in writing, analysing, editing, or generating parts of the paper must be explicitly disclosed in the manuscript (e.g. in the Acknowledgements or a dedicated “Use of AI Tools” statement).
    • The disclosure should, at minimum, identify the tool(s) used and briefly describe how they were used (for instance: language polishing, figure drafting, code suggestions).
    • Example wording (to be adapted as appropriate):

“Portions of the text and/or figures were assisted by the use of [Tool name, version] for language editing and drafting. The authors have reviewed and take full responsibility for all content.”

Submissions that fail to respect these guidelines, or that use AI tools in ways that compromise originality, integrity, or transparency, may be rejected and may lead to further actions in accordance with the symposium’s ethics and plagiarism policies.