Five Real-Life Cases Solved the Participants in the Summer School on Modeling, AI and Complex Systems 2026
The Summer School on Modeling, AI and Complex Systems 2026 successfully concluded after 10 intensive days of lectures, workshops and applied team work in Gyulechica, Rila Mountain. The UNWE Management and Administration Faculty was among the co-organizers of the event, which brought together 25 participants from 5 different organizations, including 6 Doctoral students from the UNWE.
The programme combined methodological foundations, data analysis, artificial intelligence, complex systems and research practice. According to the published schedule, the Summer School included 15 lecturers, 20 thematic lectures and 14 workshop and teamwork blocks, amounting to over 90 study hours. The event was headed by Assoc. Prof. Dr. Angel Marchev, Jr. The final day was dedicated to the presentation of solutions to five real-life cases: longevity and the labour market, forecasting electricity demand, supply and price in Bulgaria, EEG data analysis, computer vision event detection and a multi-agent system for automated data science.
 |
Among the most important programme highlights were the sessions on the scientific method and General Systems Theory, data mining, Bayesian thinking, agentic AI and self-organizing AI. The feedback from participants emphasized the value of clear explanations, practical demonstrations, interdisciplinary links and the direct applicability of the methods to dissertation and research work.
The school followed an intensive format in which participants did not only listen to lectures, but also worked in teams, tested software tools, discussed methodological decisions and prepared analytical solutions. The practical orientation of the programme allowed young researchers to connect theoretical concepts with real datasets, models and decision-making problems.
The participation of UNWE was on the project NID NF-15/2026/B. The successful completion of the Summer School 2026 confirms the role of UNWE in the field the research capacity development in modeling, artificial intelligence and complex systems.
