Abstract
The modern rapid development of science and technology requires the search for effective methods of assimilation of new knowledge and their practical application. Scientific research is a complex, multifaceted process that involves analyzing large information spaces, planning experiments, processing data, and interpreting results. This article discusses the development of an intelligent system (IP) to support scientific research processes. The main purpose of the study is to analyze the functionality of an intelligent system to increase the effectiveness of scientific research and to determine the theoretical methodological foundations of its design. The methods of system analysis, comparative analysis, modeling and design are used in the work. As a result of the research, a functional IP model was proposed, consisting of four main modules: data and knowledge management, research design support, data analysis and interpretation, as well as decision-making and outcome formation. Designing a system based on a microservice architecture ensures its modularity, scalability, and adaptability to various scientific fields. The results showed that such a system helps to reduce the time of the research cycle, increase the accuracy and repeatability of the results, as well as generate new hypotheses. The article also discusses the pedagogical and organizational aspects of technology implementation.