“Early Identification and Support of Student Mental Health Risks Using AI” is the winner of the 2026 GSU Targeted Research Grant Competition
Within the framework of its Targeted Scientific Research Grant Competition, the Georgian International University (GIU) has announced the winning project: “Early Identification and Support of Mental Health Risks Among Students Using Artificial Intelligence.” The project’s main goal is the timely identification and support of mental health risks among university students through the use of artificial intelligence.
Expected outcomes:
An AI-based system will be developed on the university’s web platform, allowing students to anonymously complete a psychological questionnaire and receive personalized feedback.
The research will enrich knowledge on the integration of psychological indicators with artificial intelligence models, particularly in the context of prevention and early identification.
The data collected will be used to plan and improve the university’s existing support services, ensuring a more effective allocation of resources.
The project will also lay the groundwork for organizing psychoeducational meetings and programs to help students manage stress and strengthen their mental well-being.
The project’s key findings will be published in internationally peer-reviewed journals and presented at academic conferences. At the same time, the data and recommendations obtained will be integrated into the university’s educational and support practices.
The project will be carried out by academic staff of GIU’s Psychology Program together with students. The project team includes: Project Lead – Giorgi Gergauli (Head of GIU’s Psychology Program, Affiliated Professor); Co-Lead – Mariam Gvilava (Affiliated Associate Professor at GIU); Project Coordinator – Ina Shanava (Associate Professor); IT Support – David Doghvani. The research team also includes first-year Master’s students of the Social Psychology program: Lika Shonia and Mariam Pavliashvili.
This project sets a precedent for the university’s first innovative approach in the field of mental health and lays the foundation for the sustainable, structured development of student well-being. Its implementation will enhance student well-being, strengthen preventive approaches institutionally, and establish a systemic, data-driven approach to mental health management at the university.