News
The award was granted in recognition of an outstanding doctoral dissertation in the social sciences, which was highly praised by the competition committee. Congratulations on this remarkable achievement.
The Coordination and Capacity Kick-off call supports the preparation of interdisciplinary research projects. The awarded funding will facilitate scientific cooperation with the Norwegian research institute NIFU. Congratulations.
The remote defence of the doctoral dissertation of Yedidya Rabinovitz will take place on November 17, 2026 at 1.00 PM (Warsaw time).
The Committee has recognized her book titled "Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning" ” [Oxford University Press, 2025, ISBN: 9780198975182].
Economics, Finance and Accounting, Econometrics, and Data Science were among the most sought-after degree programmes in this year’s completed admissions cycle at the University of Warsaw.
The deadline for submitting applications for 2026 edition of the programme under the 4EU+ Alliance is 30 November 2026. The iniciative aids in creating international teaching projects combined with a short-term in-person mobility.
This creates new opportunities for both students and faculty at the Faculty of Economic Sciences, University of Warsaw. These opportunities were the focus of discussions during a meeting with representatives of CFA Society Poland on 27 October.
The article co-authored by Prof. Anna Matysiak and Magdalena Grabowska, M.A., titled „Beyond Usual Suspects: Revisiting Barriers to Childbearing Decisions in a Low Fertility Setting” was unanimously resognised by the Committee on Demographic Studies…
We are pleased to announce the success of an article published in "Business Economics". The authors are Dr. hab. Tomasz Łyziak, Prof. ucz. (INEPAN), Dr. hab. Małgorzata Kalbarczyk, Prof. ucz., and Dr. hab. Joanna Mackiewicz-Łyziak, Prof. ucz.(WNE).
During the seminar Prof. Krzysztof Szczygielski will present the paper "Unravelling the Geopolitics of Innovation Networks: Insights from an Agent-Based Model and Bibliometric Data".
