Artificial Intelligence (AI) Policy
The Journal of Applied Data Analysis and Modern Stochastic Modelling embraces Generative AI (GenAI) tools as supportive aids to enhance research quality and efficiency in data analysis, stochastic modeling, and related fields, while upholding the highest standards of academic integrity and originality.
Permitted Applications
GenAI may be used for non-core intellectual tasks, including:
- Improving language, grammar, clarity, and style in manuscripts (e.g., via tools like Grammarly or ChatGPT).
- Generating data visualizations, figures, or graphs from author-provided datasets, with full verification of accuracy.
- Assisting in literature reviews by summarizing themes, identifying gaps, or extracting key concepts from existing papers.
- Supporting preliminary data exploration, such as generating synthetic test cases for stochastic models or optimization problems.
- These uses must augment, not replace, authors' original contributions, analyses, or interpretations.
Disclosure Requirements
Authors must explicitly disclose all GenAI use in the manuscript:
In a dedicated "GenAI Usage" section or footnote, detailing tools (e.g., "ChatGPT-4o for grammar polishing"), specific applications, and sections affected.
Within the methods or acknowledgments section for any GenAI-influenced data processing or visualization.
Confirmation that final intellectual content, including hypotheses, results interpretation, and conclusions, remains solely the authors' responsibility.
Non-disclosure constitutes grounds for rejection or retraction.
Prohibited Uses
GenAI is strictly forbidden for:
Generating original research content, such as fabricating data, results, methods, or analyses.
Automating core reasoning, model derivation, or peer review processes.
Creating references, citations, or any unverifiable scholarly claims.
Bypassing ethical standards in stochastic simulations or data synthesis.
Violations will result in immediate rejection, reporting to institutions, and potential blacklisting.