Introduction to the Diploma:
In an era marked by rapid technological advancement, artificial intelligence (AI) has become a central tool in transforming and developing many fields, including scientific research and academic peer review. With the growing number of published research papers and the increasing diversity of research areas, scientific peer review has become a major challenge for academic communities. Here, AI plays a vital role in offering innovative solutions that assist in evaluating research papers and academic theses.

Objectives of the Diploma:

Introduce researchers to the concept and importance of scientific peer review.

Understand the types and steps of the peer-review process.

Identify the key skills required of international reviewers and the role of AI in enhancing them.

Learn how to evaluate research papers based on recognized standards.

Use AI applications to assess research papers before submission to journals.

Understand the reviewer’s role in evaluating research components.

Apply AI tools to evaluate different research components.

Assess tables and scientific figures as part of the review process.

Use AI applications to analyze tables and data.

Analyze and evaluate research results and scientific discussions.

Employ AI techniques in assessing results and discussions.

Learn how to write effective peer-review reports.

Provide constructive feedback to authors.

Use AI in assessing peer-review reports.

Practice through practical examples of peer-review reports generated with AI support.

Diploma Contents:

Part One:

Introduction to scientific peer review.

Precautions to consider in international research review.

Definition of international research peer review.

The role of peer review in ensuring research quality.

Types of international peer review for scientific papers.

Steps of the international peer-review process.

Part Two:

Evaluation of research papers from non-scientific perspectives.

Assessing language, formatting, and structure in research papers.

Evaluation of spelling and grammar accuracy.

Considering linguistic and cultural differences.

Assessing clarity and organization.

Evaluation of citations and references.

Ensuring ethical compliance.

Verifying data accuracy.

Emphasizing attention to detail.

Evaluating originality and objectivity in research.

Ensuring professional standards.

Assessing message clarity.

Evaluating the quality of tables and figures.

Ensuring consistency of scientific content.

Assessing the clarity of conclusions.

Evaluating the quality of scientific writing.

Ensuring compliance with journal requirements.

Assessing the clarity of research objectives.

Evaluating the quality of statistical analysis.

Assessing data accuracy in research.

Evaluating the quality of discussions.

Assessing the clarity of conclusions and recommendations.

Evaluating adherence to ethical research standards.

Using AI applications to assess research papers from non-scientific perspectives.

Part Three:

Evaluation of the first section of research papers.

Assessing the research title and thesis statement.

AI applications in evaluating research titles.

Assessing the research abstract.

AI applications in abstract evaluation.

Assessing keywords.

AI applications in keyword evaluation.

Assessing the research introduction.

AI applications in introduction evaluation.

Assessing materials and methods used in research.

AI applications in evaluating materials and methods.

Part Four:

Evaluation of the second section of research papers.

Assessing scientific tables.

AI applications in table evaluation.

Assessing scientific figures and images in research.

AI applications in evaluating figures and scientific images.

Assessing research results and discussions.

AI applications in evaluating results and discussions.

Assessing conclusions and recommendations.

AI applications in evaluating conclusions and recommendations.

Part Five:

AI applications in evaluating entire research papers or theses from non-scientific aspects.

AI applications in evaluating entire research papers or theses from scientific aspects.

Part Six:

Professional writing of peer-review reports.

Structuring peer-review reports.

Writing clear and concise comments.

Providing constructive suggestions for improvement.

AI applications in evaluating review reports.

Part Seven:

Examples of peer-review reports generated using artificial intelligence.