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JINAIA Journal

FOR AUTHORS

Author Guidelines & Policies

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1. Submission and Manuscript Preparation

The Journal of Interdisciplinary AI Applications values not only the scientific quality of submitted manuscripts but also their clarity, organization, and suitability for academic and editorial evaluation. At the initial submission stage, the journal does not require the mandatory use of a strict manuscript template. Authors may submit their work in a well-organized, readable, and academically structured Word document, provided that the manuscript is presented clearly, contains all essential components, and can be assessed efficiently by the editorial team and reviewers.

Initial submissions should be prepared in a form that is intellectually coherent, structurally consistent, and sufficiently complete for editorial screening and peer review. While the journal seeks to avoid unnecessary technical burdens at the first submission stage, manuscripts must still meet minimum standards of academic presentation. Additional formatting, anonymization, metadata, or file-organization requirements may be requested during editorial screening, peer review, revision, or production, where applicable.

Each submitted manuscript is expected to include the following core elements:

  • Article title
  • Abstract
  • Keywords
  • Main text
  • Where appropriate, method, results, findings, discussion, and conclusion sections organized under suitable subheadings
  • References
  • Tables, figures, visuals, and supplementary materials, where applicable
  • Ethics approval statement, where required
  • Conflict of interest statement
  • Funding statement, where applicable
  • Author contribution statement, where required
  • Data availability or reproducibility-related information, where applicable

The official publication language of the journal is English. All manuscripts must be submitted in clear, grammatically correct, and academically appropriate English. Submissions containing serious language problems, weak paragraph structure, major stylistic inconsistency, or substantial formal disorganization may be returned to the authors for technical correction before scientific evaluation. Strong scientific content does not eliminate the need for an intelligible and professionally prepared submission file.

At the initial submission stage, reasonable flexibility may be allowed in citation and reference formatting; however, the selected system must be applied consistently throughout the manuscript. The mixed use of multiple citation styles, incomplete bibliographic information, insufficient source details, or unverifiable citations is not acceptable. Where necessary, the journal may request adaptation to its preferred internal style during revision, copyediting, or production.

Tables, figures, and other visual materials should be cited appropriately within the text, numbered correctly, and accompanied by clear descriptive titles or captions. Authors are fully responsible for the lawful use, attribution, and copyright status of all visual, tabular, and supplementary materials included in the manuscript. Low-quality, unreadable, unattributed, misleading, or academically inadequate materials may lead to technical correction requests or editorial revision requirements.

Authors are expected to observe the following principles during submission:

  • The manuscript must be original.
  • It must not have been published previously.
  • It must not be under simultaneous consideration by another journal.
  • Data, methods, citations, and references must be presented honestly and accurately.
  • All necessary ethical, legal, and institutional permissions must have been obtained before submission.
  • The manuscript must be prepared in a form that facilitates academic, editorial, and peer-review evaluation.

The journal’s submission and editorial management infrastructure may evolve over time. Accordingly, the journal may later publish or update manuscript templates, title page samples, anonymized file requirements for blind review, table and figure presentation rules, structured upload steps, metadata requirements, or revision-stage formatting instructions. Any such updates will be announced clearly on the journal website and will apply as of the stated effective date.

At its current stage, the journal adopts a submission policy that combines reasonable procedural flexibility with full commitment to scientific quality, publication ethics, and editorial rigor.

2. Manuscript Formatting Requirements

To support a fair, efficient, and professionally organized editorial process, manuscripts should be prepared in a clear and consistent academic format. At the initial submission stage, the journal prioritizes readability, completeness, and evaluability over excessive technical rigidity. However, authors are strongly encouraged to follow the formatting principles below in order to facilitate editorial screening, peer review, and later production stages.

A submission does not need to reproduce a rigid visual template at the first stage, but it should present the manuscript in a structured, legible, and academically appropriate form. Files that are excessively disorganized, difficult to read, or substantially inconsistent in presentation may be returned for technical correction before scientific evaluation.

Recommended General Structure

  • Title page
  • Abstract
  • Keywords
  • Main text
  • Declarations
  • References
  • Appendices and supplementary materials, where applicable

Where appropriate, the main text may include sections such as Introduction, Literature Review or Theoretical Framework, Methodology, Results or Findings, Discussion, Conclusion, Limitations, and Future Research Directions. The exact internal structure may vary depending on the article type, disciplinary orientation, and methodological approach.

Title Page

The title page should normally include the article title, author names, institutional affiliations, ORCID identifiers, corresponding author information, and any other core metadata requested by the journal. Where blind review procedures require anonymized files, authors may be asked to submit a separate title page and a blinded main manuscript file.

Abstract and Keywords

The abstract should provide a concise and self-contained summary of the manuscript. As a general guide, an abstract length of approximately 200–300 words is recommended unless otherwise specified for a particular article type. Keywords should reflect the main conceptual, methodological, and thematic focus of the study. In most cases, 4–6 keywords are appropriate.

Page Layout and Typography

For initial submission, authors are encouraged to use a standard academic page layout that supports readability and review. A4 page size, reasonable margins, consistent heading levels, and a clearly readable serif font such as Times New Roman or Georgia are recommended. The journal also recommends a font size close to 11 or 12 pt for the main text and adequate line spacing to ensure easy reading.

Minor stylistic variation at the initial submission stage is acceptable provided that the manuscript remains professionally presented, internally consistent, and easy to evaluate. More specific stylistic adjustments may be requested at revision, copyediting, or final production stages.

Headings and Section Organization

Headings should be used consistently and should reflect the logical structure of the manuscript. Authors may use numbered or unnumbered headings, depending on disciplinary convention, but the hierarchy of sections and subsections should be clear. Overly fragmented heading structures or inconsistent heading styles should be avoided.

Tables, Figures, and Visual Materials

Tables and figures should be placed in a manner that allows editors and reviewers to understand the manuscript efficiently. Each table and figure should be numbered consecutively, cited in the text, and accompanied by a clear descriptive title or caption. Tables should be readable and not overloaded with unnecessary formatting. Figures and images should be of sufficient quality for review and, where relevant, for later production.

If accepted, authors may later be asked to provide higher-resolution figure files, editable source files, separate uploads, or production-ready versions of visual materials.

Equations, Algorithms, and Code

Where applicable, equations should be presented clearly and consistently. Algorithms, code excerpts, and technical notations should be formatted in a readable manner and should support understanding rather than visual complexity. If a manuscript is accepted, the journal may request more standardized presentation for equations, algorithms, or code-based materials during production.

References and Declarations

References should be complete, accurate, and internally consistent throughout the manuscript. Declarations relating to ethics approval, conflict of interest, funding, author contributions, acknowledgments, and data availability should be included where relevant. If certain declarations are not applicable, authors should indicate this clearly where appropriate.

ORCID Requirement

The journal strongly encourages all authors to provide an ORCID identifier. Authors who do not yet have an ORCID may register for one free of charge through the official ORCID website.

The journal may publish or update more detailed formatting instructions, manuscript templates, or production-stage style requirements in the future. Any such guidance will be announced clearly on the journal website. Authors are therefore advised to consult the current journal instructions before submission and again before submitting revised or final files.

3. Publication Fees and Waiver Policy

The Journal of Interdisciplinary AI Applications currently does not charge any submission fee, preliminary evaluation fee, peer-review fee, article processing charge (APC), or publication fee. At its present stage of development, all manuscripts may be submitted, evaluated, and, if accepted, published without financial charge to the authors.

This no-fee policy reflects the journal’s commitment to supporting accessible and inclusive scholarly communication, particularly in interdisciplinary and application-oriented fields of artificial intelligence. The journal aims to encourage high-quality submissions without creating unnecessary financial barriers for researchers, including early-career scholars and authors working in diverse institutional settings.

Because the journal does not currently apply any fees, no separate waiver, discount, or exemption procedure is in force at this time.

The journal is committed to full transparency in all matters related to publication charges. Authors should be able to determine clearly, before and during submission, whether any financial obligation applies. For this reason, any future change in the journal’s fee policy will be communicated openly and in advance through the official journal website.

If the journal introduces any fee-based model in the future, the following principles will apply:

  • The revised policy will be announced clearly and transparently on the journal website.
  • The type, scope, amount, and stage of any fee will be stated explicitly.
  • Any waiver, discount, or exemption conditions, if applicable, will be explained separately.
  • Policy changes will not be applied retroactively.
  • Any new charges will apply only to manuscripts submitted after the effective date of the revised policy.

The journal’s current active policy may be summarized as follows:

  • No submission fee
  • No article processing charge (APC)
  • No publication fee

Authors are not expected to accept any payment obligation that is not clearly stated on the journal’s official website.

5. Author Responsibilities, Authorship, Ethics Approval and Conflict of Interest

The Journal of Interdisciplinary AI Applications adopts an evaluation approach grounded in publication ethics and academic integrity. The primary responsibility for every manuscript submitted to the journal rests with the authors. Authors are responsible for the originality of the manuscript, the scientific accuracy of its contents, the honest use of sources, and the acquisition of all necessary ethical and legal permissions.

Author Responsibilities

By submitting a manuscript, authors are understood to confirm that:

  • The work is original.
  • It does not contain fabricated, falsified, or misleading data.
  • It does not involve plagiarism, excessive similarity, concealed duplicate publication, or inappropriate citation practices.
  • It is not under simultaneous consideration by another journal.
  • The data, findings, and interpretations presented in the study have been reported honestly.
  • All sources used in the manuscript have been cited appropriately.
  • All necessary ethics approvals, institutional permissions, and participant consents have been obtained.
  • All listed authors have seen and approved the final version of the manuscript.

Authors are also responsible for responding to editorial requests in a timely, accurate, and transparent manner throughout the evaluation process.

Authorship Criteria

Authorship is not merely the addition of a name to a manuscript; it is the recognition of genuine academic contribution. In order for an individual to be listed as an author, that person must have made a meaningful and direct contribution to the study. Providing general supervision, offering only technical support, collecting data alone, securing funding alone, or performing only administrative duties is not sufficient, by itself, to justify authorship.

Each listed author is expected to have made a meaningful contribution in areas such as:

  • Development of the study idea, design, or research question
  • Data collection, data generation, data analysis, or interpretation
  • Drafting the manuscript or critically revising its intellectual content
  • Approval of the final version of the manuscript
  • Willingness to take responsibility for the accuracy and integrity of the work

The order of authorship should be determined by mutual agreement among the authors. Requests to add, remove, or reorder authors after submission may be subject to editorial approval and must be justified clearly.

Ethics Approval and Participant Consent

For studies involving human participants, sensitive personal data, patient data, field interventions, experimental procedures, or similar research requiring ethics approval, the relevant ethics committee or institutional approval must have been obtained. Where applicable, authors must clearly state the name of the ethics board, the decision date, and the approval number in the manuscript.

In studies requiring participant consent, informed consent must have been obtained. In cases involving identifiable information, visual data, or materials requiring special permission, all relevant legal and ethical procedures are expected to have been completed.

For animal experiments or research subject to special regulations, authors must likewise comply with all relevant ethical and legal requirements.

Conflict of Interest Disclosure

Authors must openly disclose any financial, institutional, commercial, personal, or academic interests that could influence the work. The existence of a conflict of interest does not automatically result in rejection; however, failure to disclose such conflicts constitutes a serious ethical concern.

Examples of potential conflicts of interest include:

  • Shareholding in, or consultancy for, a company related to the subject of the study
  • Paid expertise, sponsorship, or project support
  • Patents, commercial licenses, or direct financial interests
  • Close institutional or personal relationships that may affect the evaluation of the work

If no conflict of interest exists, this should also be stated explicitly, for example as “The authors declare no conflict of interest.”

Funding Statement

If the study has been supported by any institution, funding agency, research project, or private source, this support must be stated clearly. Where relevant, authors should also indicate whether the funding source had any role in the study design, data analysis, manuscript preparation, or decision to publish.

The journal regards the clear acknowledgment of ethical and legal responsibilities by authors as a fundamental condition of scientific trustworthiness.

6. AI Use Policy in Manuscripts

The Journal of Interdisciplinary AI Applications recognizes that artificial intelligence tools are becoming increasingly visible in academic writing and research processes. Rather than adopting extreme positions in which such tools are either completely prohibited or entirely unrestricted, the journal follows a balanced policy based on the principles of transparency, responsibility, accuracy, and academic integrity.

Authors may make use of AI-assisted tools during research and writing processes. However, such use does not transfer scientific responsibility to those tools. Human authors remain fully responsible for all content, interpretations, conclusions, citations, data presentation, and ethical compliance in the manuscript.

Core Principles

1. AI tools cannot be listed as authors

No artificial intelligence system, language model, generative tool, or automated content production software may be listed as an author. Authorship requires academic responsibility, accountability, ethical obligation, and ownership of the intellectual work. These can only be undertaken by human authors.

2. Meaningful AI use must be disclosed transparently

If generative AI has been used in a meaningful way in the preparation, analysis, summarization, content generation, language drafting, table/figure design, or similar stages of the manuscript, this use should be disclosed appropriately. Wherever possible, the disclosure should indicate:

  • the name of the tool or system used,
  • the purpose of its use,
  • the scope of that use,
  • and the fact that final verification and responsibility remain with the authors.

3. Final verification remains the responsibility of the authors

AI tools may generate inaccurate information, fabricated references, misleading summaries, biased wording, or content taken out of context. Authors are therefore required to carefully review, verify, and, where necessary, correct any content generated or supported by AI. The direct and unverified insertion of AI outputs into a manuscript is not acceptable.

4. Fabricated or unverifiable content is not acceptable

Any fake bibliography, non-existent dataset, invented quotation, misleading methodological explanation, or any other academically unverifiable content resulting from AI use will be regarded as a serious ethical violation.

5. Limited language and expression support may be assessed differently

Tools used only for spelling correction, grammar assistance, readability improvement, translation support, or expression polishing may be treated differently from tools used for direct content generation. Nevertheless, in cases of uncertainty, the journal favors transparent disclosure.

6. Confidential or sensitive data must not be uploaded to third-party AI tools

Authors must not enter patient data, personal data, institutional confidential material, unpublished original datasets, copyrighted content, or any materials subject to confidentiality obligations into third-party AI systems. This issue is especially important in terms of data security, personal privacy, and legal responsibility.

7. AI-generated visuals are subject to careful scrutiny

Representational images created by generative visual tools may not be presented as if they were scientific figures, empirical evidence, or actual research results. Where necessary, authors may be asked to explain how visual materials were produced. Misleading generative visuals that create the impression of real data or scientific evidence are not acceptable.

Example Disclosure Statement

Where appropriate, authors may include a statement such as the following in their manuscript:

“An AI-assisted tool, [tool name], was used to a limited extent during the writing/editorial refinement of this manuscript. All generated content was reviewed and verified by the authors, and full responsibility for the final content remains entirely with the authors.”

The journal does not automatically view AI use negatively; however, it does not accept uses that are non-transparent, unverified, misleading, or ethically problematic. The core principle is that the use of technological tools should not weaken academic integrity, but rather be managed in a more responsible and traceable way.

7. Data Sharing and Reproducibility Policy

The Journal of Interdisciplinary AI Applications supports the principles of transparency, verifiability, and reproducibility in scientific research. Especially in fields such as artificial intelligence, data science, analytical modeling, and intelligent systems, the journal recognizes that openness regarding data, code, process, and method strengthens scientific credibility.

The journal encourages authors, where possible and appropriate, to share the datasets, analysis code, model structures, experimental settings, preprocessing steps, evaluation metrics, and other materials necessary to support the reproducibility of their work. At the same time, the journal also acknowledges that not every study is equally suited to full data sharing.

Data or material sharing may be limited in cases involving:

  • Research containing personal data
  • Patient data or sensitive health information
  • Data covered by institutional confidentiality agreements
  • Datasets subject to commercial or contractual restrictions
  • Materials legally restricted from distribution
  • Data whose release may create security or ethical risks

In such cases, authors are expected to explain honestly why the data cannot be shared openly. If full data sharing is not possible, the journal encourages alternative practices such as:

  • summarized data presentation,
  • anonymized data sharing,
  • provision of synthetic or sample datasets,
  • code sharing,
  • detailed methodological description,
  • controlled-access availability upon request.

It is important that the methods used in the article be described with sufficient clarity. Even when data cannot be shared, authors should explain as clearly as possible how the research was conducted, how the data were processed, which software or algorithms were used, how model parameters were selected, and how the results were evaluated.

Where appropriate, authors are also encouraged to specify:

  • the source of the data,
  • the status of data access,
  • a sharing link or repository information,
  • code repository information,
  • technical details necessary for reproducibility,
  • the reason for any data-sharing restrictions.

The journal does not treat data sharing as a rigid, one-size-fits-all requirement. Instead, it regards it as a responsible scientific practice that should be evaluated in light of the field, method, ethical context, and legal framework of the study. The primary objective is to ensure that research is presented in a way that is as transparent, understandable, and verifiable as possible.