AI for Scientific Research: From Literature Search to Data Analysis and Conclusions

AI for Scientific Research: From Literature Search to Data Analysis and Conclusions
A practical course on using artificial intelligence at every stage of research work — from framing the research question and searching literature to analyzing data and verifying conclusions.

The course is designed for researchers, university faculty, graduate students, and authors of academic publications. It shows how to systematize scientific literature, analyze interviews and survey data without programming, fact-check claims and arguments, and prepare academic texts with AI — all while keeping full control over sources, data, and the quality of conclusions.

The material is presented in text format and organized around the stages of the research cycle, allowing learners to move at their own pace and return to relevant sections as their project progresses.

Course program:

• AI as a Researcher's Tool — what to delegate to AI and what to keep under your own control.
• Safe and Effective Work with AI — prompting, fact-checking, and confidentiality.
• From Idea to Research — topic, question, hypothesis, and scientific literature.
• AI in Research Practice — methods, data, and analysis.
• From Results to Scientific Conclusions — interpretation, verification, and argumentation.