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:

• Language & Style Enhancement: Improving language, grammar, clarity, and style in manuscripts (e.g., via tools like Grammarly or ChatGPT).
• Data Visualization: Generating data visualizations, figures, or graphs from author-provided datasets, with full verification of accuracy.
• Literature Synthesis: Assisting in literature reviews by summarizing themes, identifying gaps, or extracting key concepts from existing papers.
• Exploratory Modeling: 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.

Note: Non-disclosure constitutes grounds for rejection or retraction.