AI in Scientific Publications – Research, Structure, Argumentation and Editing

Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

Publication plan with AI - You will structure your entire article workflow, from the research idea to manuscript submission, and define where AI truly speeds up the work and where your own judgment must lead.

Clear topic and questions - You will sharpen your research area, topic, problem, and questions, so you can avoid an overly broad scope and build an article concept that is focused, realistic, and publishable.

Stronger literature work - You will learn how to use AI to compare studies, build thematic matrices, and spot research gaps, while still verifying sources, citations, and the reliability of AI-generated suggestions.

Robust article structure - You will design a logical paper structure, connect the problem, method, results, and conclusions, and use AI to test whether your argument is coherent, complete, and easy to follow.

Faster text revision - You will improve paragraphs, transitions, and terminology, using AI to reorganize and clarify content without losing the meaning of your research, your voice, or authorial responsibility.

Responsible AI use - You will understand the limits of generative tools and the most common misuse patterns, helping you reduce the risk of hallucinations, distorted findings, and breaches of research integrity.

Submission-ready manuscript - You will practice a full quality check of your paper, align it with journal requirements, and prepare the title, abstract, keywords, and references before submitting your manuscript.

Stronger review responses - You will prepare for communication with editors and reviewers, learn how to interpret review comments, and plan clear responses and revisions that improve your chances of publication.

Training programme

1. Strategic planning of a scientific publication

a scientific article as the result of a planned research process,
key decisions preceding the start of writing,
from a research idea to a publication concept,
defining the role of AI at various stages of work on the article,
the boundaries of responsible use of generative tools,
the most common irregularities in scientific work supported by AI,
workshop: analysis of one's own way of working on a publication.

2. Building a research concept using AI

distinguishing the research area, topic, problem and research question,
using AI to generate directions for exploration,
assessing the value and feasibility of the research idea,
specifying the objectives, questions and scope of the article,
narrowing overly broad and ambiguous topics,
constructing prompts supporting analysis and critical thinking,
workshop: developing a coherent article concept.

3. Analysis of sources and building a theoretical foundation

the importance of literature for justifying the research problem,
planning a strategy for searching publications and sources,
the use of AI in analyzing, comparing and organizing materials,
creating summaries, thematic matrices and dependency maps,
identifying discrepancies, gaps and areas requiring further research,
verification of information, citations and sources indicated by AI,
the risk of incorrect interpretations, simplifications and non-existent publications,
workshop: preparation of an organized literature database.

4. Designing the logic and architecture of the article

selection of the article structure to match the purpose, method, and nature of the study,
the classic IMRaD model and alternative publication layouts,
building the main line of argumentation,
linking the problem, methodology, results, and conclusions,
planning the function of individual sections and paragraphs,
using AI to detect inconsistencies and missing elements,
testing readability and the logical sequence of arguments,
workshop: creating a detailed outline of your own article.

5. Development and improvement of a scientific text

division of responsibility between the author and the AI tool,
use of AI during editing, simplifying and organizing content,
building precise paragraphs and correct transitions between threads,
maintaining terminological and stylistic consistency,
strengthening arguments without distorting research results,
eliminating repetitions, ambiguities and excessively complex constructions,
checking the text's compliance with the principles of authorship and scientific integrity,
workshop: improvement of a selected fragment of a publication.

6. Quality control and preparation of the manuscript for publication

multi-stage verification of the completeness and coherence of the article,
checking the consistency of objectives, methods, results, and conclusions,
adapting the text to the profile and requirements of the journal,
preparation of the title, abstract, keywords, and additional elements,
use of AI for a comprehensive review of language and argumentation,
checking the correctness of references, citations, and bibliography,
preparation for communication with the editorial office and reviewers,
analysis of reviewer comments and planning responses,
workshop: final assessment of the manuscript's readiness for submission.

What are the prerequisites for participating in the training?

Basics of academic writing - You should understand the core parts of a research article, such as the aim, research question, methodology, and conclusions, so you can work confidently on structure and argumentation.

Experience with literature - You should be able to search for and read academic publications on your own, because the training involves working with sources, comparing them, and judging their relevance to your paper.

Readiness to write - You should have your own topic, research idea, or a draft fragment of text, so you can immediately apply the AI-based methods during exercises to your actual manuscript work.

Basic AI tool use - You should have basic experience using AI tools for text work, so you can focus on prompt quality, evaluating outputs, and using generated responses in a responsible academic way.