Kazimierz Wielki University (UKW) became a dynamic international educational hub, hosting foreign students as part of the prestigious Blended Intensive Programmes (BIP) funded by the Erasmus+ programme.
These innovative, short-term mobilities combine intensive online learning with practical, face-to-face activities within our university walls. This year, UKW is organizing three unique projects that have attracted young researchers from across Europe.
The first step – the secrets of nutrition at an early stage of life
The project focused on the unique properties of breast milk and key aspects of food safety. The programme was organized by a research team consisting of dr hab. Magdalena Twarużek, prof. uczelni, dr n. biol. lek. wet. Katarzyna Łubiech, and dr n. med. Elena Sinkiewicz-Darol.
Participants from Portugal, Italy, and Germany took part in expert lectures and advanced practical sessions at the UKW Mycotoxin Research Laboratory. The mobility programme was enriched by study visits to the Human Milk Bank and the Microbiology Laboratory at the L. Rydygier Provincial Combined Hospital in Toruń.
Postmemory in the age of social media
Another mobility programme was being carried out under the academic supervision of dr. hab. Krzysztof Okoński, prof. uczelni, and dr Anna Gabryel. Students of German Studies and Applied Linguistics from Poland, Germany, and Greece are working together to analyze how social media shapes and communicates postmemory.
A key element of the project was the use of Artificial Intelligence (AI) tools to investigate both the opportunities and the serious threats emerging from the digital network, such as disinformation, hate speech, and conspiracy theories.
Artificial Intelligence and Behavioural Investing
The project, organized by dr Maryla Bieniek-Majka and dr Paweł Błoński, brought together students from Hungary, Lithuania, and Germany.
The programme focused on a modern approach to financial markets by combining artificial intelligence with behavioral finance. Participants explore the psychological mechanisms behind investment decision-making, analyze risk perception and cognitive biases, and learn how to utilize innovative financial analysis tools.
