For abstract and full-length manuscript submission, please visit the
website: https://meteor.springer.com/ISYDMA10
Please note that you will be asked to register in the METEOR portal and click “add” to insert your abstract.
Authors of accepted presentations at the ISyDMA’10 Conference are encouraged to submit full manuscripts for publication in the Conference Proceedings, which will be published by Springer Nature as peer-reviewed articles.
Manuscript template (please note that the suggested length of the manuscript is: 4-6 pages for contributed papers and 8-12 pages for invited and keynote papers).
All abstracts and manuscripts must be submitted via Springer (METEOR) portal for ISyDMA’10 proceedings consideration.
Authors are encouraged to read guidance on similarity check, Alt-text requirement and use of third-party materials.
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Alt-txt requirement
In accordance with the EU Accessibility Act and Springer’s commitment to Accessibility at Springer Nature, all publications will need to be accessible to all readers. The content must adhere to the Web Content Accessibility Guidelines (WCAG) which Springer Nature follows regarding the (technical) layout and the presentation of the electronic versions. According to these guidelines, textual substitutes are required for non-text content, such as figures, illustrations, and tables in image formats. As these texts are actual content, we request that
alternative texts (also known as alt text) for all figures, illustrations, and images will be submitted with your final manuscript in an Excel file. Please carefully read the guide on How to Write Good Alt Text to ensure you understand the criteria of good alt text.
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Guidance on third-part material
Submitted manuscripts must be written in English and present original, unpublished research, either experimental or theoretical. Additionally, they must not be under review for publication elsewhere.
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Responsible and Transparent Use of AI in Manuscript Preparation
This guidance reflects a critical inflection point in scholarly communication, where AI presents a powerful mechanism to mitigate digital inequities and accelerate knowledge production, yet simultaneously necessitates principled, human-centric efforts in knowledge generation.
With this framework as a guide, authors are encouraged to judiciously integrate AI tools to enhance clarity and overall quality of their manuscripts, particularly in tasks such as literature discovery, linguistic refinement, structural organization, and other non-substantive improvements. Notwithstanding these allowances, all submissions must represent original intellectual contributions and scholarly rigor attributable to the author(s). Manuscripts that are predominantly or wholly generated by AI systems are not permissible.
Several methodological and ethical considerations underpin this balanced constraint. AI-generated content is susceptible to factual inaccuracies, fabricated or “hallucinated” references, and unverifiable assertions, thereby compromising epistemic reliability. Moreover, AI systems lack accountability and cannot assume responsibility for scientific claims, raising substantive concerns regarding authorship, intellectual ownership, and academic integrity. Likewise, the generation of figures using AI is strongly discouraged, as such outputs may not authentically represent empirical data, can introduce latent biases or distortions, and frequently lack verifiable provenance, ultimately undermining reproducibility and scientific validity. Conversely, the use of AI, machine learning (ML), and deep learning (DL) methods is acceptable for analytical purposes, including interpreting datasets and figures, provided data integrity is preserved. However, all visual representations included in submissions must originate from authentic data-driven processes rather than exclusively being produced by generative AI systems.
As governance frameworks for AI in scholarly publishing continue to evolve, particularly aligned with the principles of the Committee on Publication Ethics (COPE), authors are expected to maintain full transparency in disclosing the extent and nature of AI-assisted contributions, where applicable. It should also be noted that all manuscripts will undergo rigorous screening for both textual similarity and AI-generated content. Submissions exceeding a 20% threshold in AI-detection metrics will be subject to editorial scrutiny; in such instances, the handling editor must provide a formal justification. Failure to adequately address these concerns may result in administrative rejection at the publisher’s discretion.
ISyDMA’10 Publication Dates
Paper Submission (start): May 1, 2026
Paper Upload: August 31, 2026
Assignment of Reviewers: August 31, 2026
Review: September 30, 2026
Decision: October 15, 2026
