Professor Vitalii Kobets became a participant in the VUIAS workshop held in Uzhhorod
Professor Vitalii Kobets participated in a workshop for participants of the Virtual Ukraine Institute for Advanced Study (VUIAS) program, which has been taking place in Uzhhorod since October 19. Vitalii Mykolaiovych is a participant in the program for the 2026/2027 academic year in the field of «Economics / IT».
The VUIAS program is designed for Ukrainian scientists from all scientific disciplines working both in Ukraine and abroad. Scholars were selected through a three-stage competitive procedure from over 600 applications: candidates were divided by fields, the top 5 were identified in each field, then the top 3, and finally the winners. Overall, 5% of candidates from all over Ukraine were selected for the 2026-2027 academic year.
Program participants receive support for research in Ukraine and abroad. Among VUIAS's international partners are the Institute for Advanced Study in Princeton, the Center for Advanced Study in Behavioral Sciences at Stanford University, the Ukrainian Research Institute at Harvard University, the Swedish Collegium for Advanced Study in Uppsala, and the Helsinki Collegium for Advanced Research. In Ukraine, partners include the Ukrainian Catholic University, the Center for Urban History, the Kyiv Center for Advanced Studies, the Kyiv School of Economics, the American University Kyiv, and the «Ukraine» Research Center. The initiative is supported by the «Volkswagen» Foundation, and the selected participants represent over 20 scientific disciplines and institutions from all regions of the country.
Within the program, Professor Vitaliy Kobets will implement the research «Machine learning-based automated financial advisory system for personalized investment management in post-war Ukraine» https://vuias.org/person/vitaliy-kobets/.
The project aims to study the experience of automated financial advisors common in EU countries and the possibility of their application in Ukraine. The project combines interdisciplinary methods for developing personalized investment portfolios based on mathematical models, large language models, and programming, and aims to develop accessible financial tools for Ukrainians to achieve personal financial goals with various planning horizons.